text:
|Publication number
|Publication type
|Application number
|Publication date
|May 23, 1995
|Filing date
|Mar 20, 1992
|Priority date
|Mar 20, 1992
|Fee status
|Also published as
|Publication number
|Dan S. Bloomberg
|Original Assignee
|Xerox Corporation
|Export Citation
|BiBTeX, EndNote, RefMan
|Patent Citations (21), Non-Patent Citations (10), Referenced by (52), Classifications (11), Legal Events (5)
|External Links: USPTO, USPTO Assignment, Espacenet
The present invention relates generally to computerized image processing, and more specifically to techniques for locating a particular portion of an image and extracting mark-sense information therefrom.
Forms with mark-sense fields (such as check boxes) are ubiquitous, and provide an effective way to gather and communicate information. For certain forms, such as those used for college and professional school admission tests, the instructions for making a mark in a box are very explicit, the conditions are tightly controlled, and the people making the marks are highly motivated to do so correctly. The result is that the forms can be machine-read very accurately. In other contexts, the people filling in the check boxes are likely to have neither the correct No. 2 pencil nor the patience to ensure that they mark the box in an optimal manner. Fortunately, the consequences of having the form misread by a computer tend to be lower in such contexts. Indeed, many such forms require handwritten alphanumeric information and are read by people rather than machines.
One context that presents some unique challenges to computerized image processing is a form that has been faxed once or twice. Consider a scenario where a computer generates a form and transmits it by a fax modem over the telephone line to a remote fax machine, and where a user receives the paper copy of the form from the fax machine, scribbles entries on the form (including checking certain boxes), and transmits the form to the computer from the remote fax machine. On the basis of which boxes have been checked, the computer is supposed to take appropriate action. The form is assumed to have registration marks (fiducials), with the boxes at known locations relative to the fiducials.
In general, since the form was generated by the computer and did not have to be scanned into a fax machine at the computer site, the user at the remote fax machine will receive a form of reasonably high quality. The form received by the user may, however, contain pepper noise (isolated black pixels in white regions, or vice versa) or thin horizontal lines of black pixels in white regions, or vice versa, due to noise on the telephone line. By the time the originating computer receives the filled-in form, the image is likely to have been further degraded in one or more of the above ways and one or more of the following additional ways. The image is subject to scanner noise which can manifest itself as vertical black streaks due to opaque material on the scanning platen of the fax machine. Additionally, misregistration of the check box relative to the fiducials can occur because scan lines in the fax are lost as a result of transmission noise or because the image has become distorted due to imperfections in the mechanical feed. If the feed causes the input page to be skewed, the result is trapezoidal distortion. Moreover, one or more of the registration fiducials can even be lost due to a page fold during scanning or as a result of large skew.
The present invention provides a robust technique for registering to a field on a form, which has been converted to a binary input image, possibly determining whether the field contains a mark, and, if desired, extracting the mark for further analysis or other use. The technique provides reliable sensing in the presence of various image and scanner noise and misregistration in the input image.
In brief, the present invention utilizes an approach of making an initial determination of the approximate location of the field, and then refining such determination. The form is assumed to have registration marks (fiducials) with the field at a known location relative to the fiducials. The fiducials are identified, and the approximate location of the field is determined from the fiducial positions and the known relation between the fiducials and the field. At this point, a portion of the image (referred to as the subimage) is extracted. The subimage is typically somewhat larger than the field so that it can be assumed that the field is within the subimage.
In one set of embodiments it is assumed that the field has associated with it one or more machine-printed lines along at least part of the field perimeter (typically a rectangle surrounding the field or a right-angle bracket along two sides). It is necessary to distinguish these border lines from hand-printed marks in the field. To this end, a copy of the subimage is subjected to a set of operations on the actual pixels in the subimage that provides nominal information on the location of these lines. The boundaries of the subimage are then changed to nominally exclude the lines. This is preferably done in one of two ways.
A first way is to determine the location of the bounding box (smallest enclosing rectangle) of the largest connected component in the subimage. The subimage boundaries are modified (truncated, translated, or both) to bring the subimage boundaries inward of the bounding box by an amount that exceeds the border line thickness, thereby excluding what are believed to be the lines. If the connected component analysis fails (e.g., because the border lines are broken), the subimage boundaries are modified to bring them inward of the smallest rectangle that encloses all the ON pixels. A second way is to actually locate at least some of the lines by morphological operations that, in effect, project out the lines. The subimage boundaries are then modified to exclude these lines.
The modified subimage is then extracted and ON pixels counted. If the number exceeds a threshold, the field is considered to contain a mark. Morphological operations may be performed on the modified subimage to remove pepper noise and single-pixel height lines before counting ON pixels. The modified subimage may be stored if further analysis or other use of the mark is desired.
A further understanding of the nature and advantages of the present invention may be realized by reference to the remaining portions of the specification and the drawings.
FIG. 1 is a block diagram of a computer system within which the present invention may be embodied;
FIG. 2 is a flow diagram showing the method of determining whether a mark-sense field on a form contains handwritten marks;
FIG. 3 is a flow diagram showing a technique for locating fiducial marks in the input image;
FIG. 4 is a flow diagram showing one embodiment of the present invention;
FIG. 5 is a flow diagram showing a second embodiment of the present invention;
FIG. 6 is a flow diagram showing a technique for determining bounding box locations; and
FIG. 7 is a flow diagram showing optional noise removal operations prior to counting ON pixels.
The present discussion deals with binary images. In this context, the term "image" refers to a representation of a two-dimensional data structure composed of pixels. A binary image is an image where a given pixel is either "ON" or "OFF." Binary images are manipulated according to a number of operations wherein one or more source images are mapped onto a destination image. The results of such operations are generally referred to as images. The image that is the starting point for processing will sometimes be referred to as the original image.
Pixels are defined to be ON if they are black and OFF if they are white. It should be noted that the designation of black as ON and white as OFF reflects the fact that most documents of interest have a black foreground and a white background. While the techniques of the present invention could be applied to negative images as well, the discussion will be in terms of black on white.
A "solid region" of an image refers to a region extending many pixels in both dimensions within which substantially all the pixels are ON.
A "textured region" of an image refers to a region that contains a relatively fine-grained pattern. Examples of textured regions are halftoned or stippled regions.
"Text" refers to portions of a document or image containing letters, numbers, or other symbols including non-alphabetic linguistic characters.
"Line graphics" refers to portions of a document or image composed of graphs, figures, or drawings other than text, generally composed of horizontal, vertical, and skewed lines having substantial run length as compared to text. Graphics could range from, for example, horizontal and vertical lines in an organization chart to more complicated horizontal, vertical, and skewed lines in engineering drawings.
A "mask" refers to an image, normally derived from an original image, that contains substantially solid regions of ON pixels corresponding to regions of interest in the original image. The mask may also contain regions of ON pixels that don't correspond to regions of interest.
AND, OR, and XOR are logical operations carried out between two images on a pixel-by-pixel basis.
NOT is a logical operation carried out on a single image on a pixel-by-pixel basis.
"Expansion" is a scale operation characterized by a SCALE factor N, wherein each pixel in a source image becomes an N�N square of pixels, all having the same value as the original pixel.
"Reduction" is a scale operation characterized by a SCALE factor N and a threshold level T. Reduction with SCALE=N entails dividing the source image into N�N squares of pixels, mapping each such square in the source image to a single pixel on the destination image. The value for the pixel in the destination image is determined by the threshold level T, which is a number between 1 and N2. If the number of ON pixels in the pixel square is greater or equal to T, the destination pixel is ON, otherwise it is OFF.
"Subsampling" is an operation wherein the source image is subdivided into smaller (typically square) elements, and each element in the source image is mapped to a single pixel in the destination image. The destination pixel value is defined by a selected pixel in the source image element. The selection may be predetermined (e.g., upper left pixel) or random.
A "4-connected region" (or "4-connected component") is a set of ON pixels wherein any two pixels in the set can be joined by a path that includes the two pixels and includes only pixels in the set, and each pixel on the path is laterally or vertically adjacent to at least one other pixel on the path. An isolated ON pixel that has no 4-connected neighbors may as a matter of definition be considered a 4-connected region.
An "8-connected region" ("or 8-connected component") is a set of ON pixels wherein any two pixels in the set can be joined by a path that includes the two pixels and includes only pixels in the set, and each pixel on the path is laterally, vertically, or diagonally adjacent to at least one other pixel on the path. An ON pixel that has no 8-connected neighbors may as a matter of definition be considered an 8-connected region.
A number of morphological operations map a source image onto an equally sized destination image according to a rule defined by a pixel pattern called a structuring element (SE). The SE is defined by a center location and a number of pixel locations, each having a defined value (ON or OFF). Other pixel positions, referred to as "don't care," are ignored. The pixels defining the SE do not have to be adjacent to each other. The center location need not be at the geometrical center of the pattern; indeed it need not even be inside the pattern.
A "solid" SE refers to an SE having a periphery within which all pixels are ON. For example, a solid 2�2 SE is a 2�2 square of ON pixels. A solid SE need not be rectangular.
A "hit-miss" SE refers to an SE that specifies at least one ON pixel and at least one OFF pixel.
"Erosion" is a morphological operation wherein a given pixel in the destination image is turned ON if and only if the result of superimposing the SE center on the corresponding pixel location in the source image results in a match between all ON and OFF pixels in the SE and the underlying pixels in the source image.
"Dilation" is a morphological operation wherein a given pixel in the source image being ON causes the SE to be written into the destination image with the SE center at the corresponding location in the destination image. The SE's used for dilation typically have no OFF pixels.
"Opening" is a morphological operation that consists of an erosion followed by a dilation. The result is to replicate the SE in the destination image for each match in the source image.
"Generalized opening" is a morphological operation that consists of an erosion (using the hits and misses in the SE) followed by a dilation (using only the hits in the SE).
"Closing" is a morphological operation consisting of a dilation followed by an erosion.
For opening, generalized opening, and closing, the result does not depend on the center location of the SE since each operation includes successive complementary operations with the same SE.
The various operations defined above are sometimes referred to in noun, adjective, and verb forms. For example, references to dilation (noun form) may be in terms of dilating the image or the image being dilated (verb forms) or the image being subjected to a dilation operation (adjective form). No difference in meaning is intended.
FIG. 1 is a block diagram of a computer system 10 within which the present invention may be embodied. The computer system configuration illustrated at this high level is standard, and as such, FIG. 1 is labeled prior art. A computer system such as system 10, suitably programmed to embody the present invention, however, is not. In accordance with known practice, the computer system includes a processor 12 that communicates with a number of peripheral devices via a bus subsystem 15. These peripheral devices typically include a memory 17, a keyboard or other input device 20, a display 22, a file storage system 25 such as one or more hard disk drives and floppy disk drives, a printer 27, an optional scanner 30, and a fax modem 32. Fax modem 32 is shown as being in intermittent communication with a fax machine 35, normally considered to be at a remote location, via a telephone line 37 (shown in phantom). It will be appreciated that computer system 10 includes all the elements of a fax machine, and references to a fax machine are generally meant to include such a computer system as well as a self-contained fax machine.
The present invention relates to image analysis, and according to the invention, processor 12, suitably programmed, operates to extract certain characteristic portions of a binary input image. In a typical case, the input image originates from a paper document 40 that was scanned into scanner 30 or that was scanned into fax machine 35 and communicated to fax modem 32 over phone line 37. In a case where fax machine 35 is a computer with a fax modem, the input image could also have been generated on that computer and faxed to fax modem 32.
The encoding of an input bitmap, the transmission of the encoded file to another fax machine, and the decoding into an output bitmap occur according to a standard facsimile protocol, such as the CCITT group 3 or group 4 encoding formats. From the point of view of the present invention, what is referred to above as the output bitmap is considered the binary input image. It is contemplated that document 40 may well have been received at fax machine 35 as a blank form to be filled in by a user.
FIG. 2 is a flow diagram showing a representative sequence of operations for carrying out the present invention. A particular input image, designated 40', represents a simplified view of a form that might be processed by the invention. As can be seen, the form includes fiducials 42a and 42b, which take the form of rectangular solid bands near the top and the bottom, various other fields, designated 43 and 45, that either contain information or accept handwritten information, and a number of mark-sense fields 47a-47d. The mark-sense fields allow the user to input information by placing marks in some fields and not others.
The invention provides a technique for registering to one of the fields, either to determine if there are marks in it or to extract the content of the field for further use, or both. The description that follows is primarily directed to determining whether a given mark-sense field contains a mark, but the techniques also apply to extracting other information from the other types of field.
In the specific embodiment, the mark-sense fields are bordered on two sides by right-angle brackets having a lower right corner. Alternatives would be to have the fields bordered by other combinations' of one or more lines. A single horizontal line along the bottom or top of the field, spaced horizontal lines along the top and the bottom, a single vertical line along the right or left side of the field, spaced vertical lines along both sides, and lines along three sides are possible. The lines along the border of the field will sometimes be referred to as the border lines or the border.
The remaining portions of the flow diagram show the major steps for determining whether there are handwritten marks in mark-sense fields 47a-d. The image is first processed to locate the fiducials. As will be described below, the corners of the fiducial bands are located (step 50) and initial setup is performed. The initialization will typically include determining from other fields on the form the type of form and thus the number of mark-sense fields and their locations. From the point of view of the invention, it can be assumed that this information is known, being stored as a template. The remaining steps are performed for each mark-sense field to be evaluated, and a representative looping operation is shown.
The next field is selected (step 52), and the location of the field is approximately determined (step 55) in view of the measured fiducial positions and template information on the expected positions of the mark-sense field relative to the fiducials. A subimage corresponding to the field is extracted (step 57). This subimage is sufficiently larger than the actual field (say by 20% in linear dimension) to account for the fact that despite the calculation, there may be residual errors due to pixel noise, non-linear distortion, and the like.
The location of the field is refined (step 60) as the subimage is subjected to morphological and other operations that attempt to gain information regarding the location of the border lines. Based on this information, the subimage boundaries are modified (step 62) in order that the modified subimage nominally exclude the border lines.
The modified subimage is optionally subjected to noise removal operations (step 65), the number of ON pixels in the modified subimage (as optionally processed) is counted (step 67), and the number is compared to a threshold (step 69). If the number is above the threshold, an indication is made (step 70) that the field contains a mark; if the number is not above the threshold, no such indication is made. A determination is then made whether all the fields have been processed (step 72), and if not, subsequent fields are processed.
FIG. 3 is an expanded flow diagram showing a sequence of operations for locating the upper right corner of fiducial 42a. Similar sequences are used for locating the upper left corner of fiducial 42a and the lower left and lower right corners of fiducial 42b. A portion of the image, expected to contain the upper right region of fiducial 42a, is copied (steps 90 and 92). The first copy is subjected to a generalized opening operation (step 95) with a horizontal hit-miss SE 97. Horizontal hit-miss SE 97 operates, in effect, to project out the top edge of the fiducial band. While the SE is shown as only 12 pixels wide, it is preferably on the order of 30-50 pixels wide. The SE contains a top row of misses (OFF pixels), a bottom row of hits (ON pixels), and a number of rows of "don't care" pixels in between. The number of intermediate rows depends on the skew that the system is to account for. An SE that is 50 pixels wide and contains five intermediate rows of "don't care" pixels corresponds to the ability to detect the edge in the presence of approximately 5� of skew. The second copy is subjected to a generalized opening operation (step 100) with a vertical hit-miss SE 102. Vertical SE 102 contains a column of ON pixels along the left edge, a column of OFF pixels along the right edge, and a number of intermediate columns of "don't care" pixels. The general dimensions and considerations are as discussed above for SE 97.
The resulting images from the generalized open operations are ANDed (step 105), resulting in a small approximately rectangular region of ON pixels (say 3-4 pixels on a side). This region may be filled to the smallest enclosing rectangle (step 107), and the upper right corner of the region (whether or not filled) is located (step 110). The upper right corner of the ON pixel region is preferably located by a technique that, in effect, scans inwardly at 45� starting at the upper right corner of the portion of the image. The actual implementation scans horizontally in from the right, locates the rightmost pixel in each scan line, and selects the pixel that is closest to the corner. Alternatively, if the region is filled to a rectangle, the corner may be located by selecting the upper right corner pixel (e.g., by a pattern match). The particular details of filling to a rectangle may be found in allowed patent application Ser. No. 449,203, filed Dec. 8, 1989, titled "IMAGE REGISTRATION," the disclosure of which is incorporated by reference. The other fiducial positions are located in the same way with appropriately oriented hit-miss SE's.
The locations of the fiducials and the mark-sense fields are known a priori in what can be referred to as template coordinates. The above procedure provides the locations of the fiducials in what can be referred to as scan coordinates (pixel position coordinates). Since all the image processing is in terms of scan coordinates, locating the mark-sense fields requires derivation of a transformation from template coordinates to scan coordinates. This can be done using an affine or a bilinear transformation.
An affine transformation is linear and homogeneous, and takes into account translation, rotation, linear scaling, and shear. The transformation of a point with template coordinates (x,y) to scan coordinates (x',y) is of the form:
Three known fiducial locations (template coordinates) and three measured fiducial locations (scan coordinates) provide six linear equations in the six unknown parameters (a, b, c, d, e, f), which can be solved for the parameters.
A bilinear transformation is non-linear and takes the form:
Four known and four measured fiducial locations lead to eight linear equations in the eight unknown parameters, which can be solved for the parameters.
Once the coefficients are determined, they are used to transform the template coordinates of the mark-sense fields into scan coordinates. These scan coordinates represent expected locations, given the various sources of noise, distortion, and the like that have caused the input image to depart from the ideal represented by the template.
In a specific embodiment, the affine transformation is used if only three corners are found and they are determined to be valid. Since losing a corner is a cause for concern, the three points are required to closely approximate the vertices of a right triangle (say 90��1�). The bilinear transformation is used if four corners are found and they are determined to be valid. Four corners are considered valid if they closely approximate the vertices of a parallelogram. This will be satisfied if for each pair of opposite sides of the quadrilateral, the two sides in that pair are approximately equal (difference less than an empirical threshold, say about 2%).
Once a nominal location of the mark-sense field is determined, and a somewhat enlarged subimage expected to contain the field is extracted, the subimage is processed by one of a number of techniques to provide border line information for the field.
FIG. 4 is a flow diagram showing one technique for providing border line information and modifying the subimage boundaries. The figure also shows the result of each step for three possibilities, namely no mark in the mark-sense field, a neatly drawn mark that is entirely included within the border lines, and a sloppily drawn mark that goes outside the border lines. The input subimage (large dashed rectangle) is subjected to a set of operations that computes the bounding boxes of all 4-connected components (step 120). The analysis could just as well be performed on 8-connected components. These bounding boxes are shown as dashed lines surrounding the objects. In the case of the border lines as a separate connected component, the bounding box is shown spaced slightly outside the border lines for clarity. In the case of the neatly drawn mark, separate bounding boxes for the border lines and the handwritten mark are shown. For the sloppily drawn mark, the mark and border lines define a single connected object, and the single bounding box is shown.
The bounding box with the largest perimeter is then selected (step 122) as indicating the largest connected component. In the first two cases, the largest connected component is the printed border (right-angle bracket), while in the case of the sloppily drawn mark, it is partially or totally defined by the mark itself. The modification of the subimage boundaries is based on the location of the bounding box with the largest perimeter. In the case of a right angle bracket, the bounding box could be translated upwardly to the left by a distance based on the line thickness of the bracket in order to exclude the bracket. It is preferred however, to translate and shrink the subimage. It is noted that this technique would also work if the border is a rectangle surrounding the mark-sense field.
It should be noted that in the first case, the modified subimage excludes the border and thus contains no ON pixels. In the second case, the modified subimage excludes the border but includes the mark, and therefore contains ON pixels that provide an indication of the presence of a mark in the field. The third case is interesting because the modified subimage does not exclude the border. However, the reason for that is because there was a large mark drawn that crossed through the border lines. Accordingly, the modified subimage includes the border and a major portion of the mark, and actually provides a stronger indication that there is a mark in the field. Thus, this technique, nominally excluding the border, provides the right answer, even when it doesn't exclude the border.
This technique has a potential weakness in a situation where a mark intended to be made in one field touches the border of an empty second field. This can cause the modified subimage for the second field to be misregistered (off the second border), so that after translation, the region still includes enough of the machine-printed border to exceed the threshold. For this reason, it is useful to separate the mark-sense fields and make them small enough so that users are not likely to draw a line connecting two borders. A similar problem can arise from noise projecting out from an empty box.
A further potential problem arises if the border lines are thin in the original and comprise more than one connected component in the scanned image. This is more likely to happen where the field is relatively large, as is the case where the user writes actual information that is to be saved as a bitmap. This will in general be detectable, since the bounding box with the largest perimeter will be significantly smaller than the known size of the printed border. If this is detected, the subimage boundaries are modified by moving them inside the smallest rectangle that includes all the ON pixels by a distance based on the thickness of the border lines.
FIG. 5 is a flow diagram showing a second technique for providing the border line information and modifying the subimage boundaries. Copies of the subimage are made (steps 130 and 132). The first copy is opened (135) with a horizontal SE 137, and the vertical location of the bottommost connected component is determined (step 140). The second copy is opened (step 142) with a vertical SE 145, and the horizontal location of the rightmost connected component is determined (step 147). Horizontal and vertical SE's 137 and 145 are on the order of 20-60% (typically 30-40%) of the respective horizontal and vertical dimensions of the expected bracket or rectangle. Accordingly, the result of the opening steps should be to project out the bottom and right border lines. These vertical and horizontal locations allow a determination of the location of the border lines, and a region is then computed that excludes these calculated line locations (step 150). Since this technique locates the lines, it does not suffer the potential weakness discussed above.
This technique works for a bracket or a rectangle. However, in the case of a rectangle, the opening operations project both of the opposite sides, and therefore step 140 can be accompanied by finding the vertical location of the topmost connected component to provide extra information. Similarly, step 147 can be accompanied by finding the horizontal location of the leftmost connected component.
FIG. 6 is a flow diagram showing a technique for extracting coordinate information on connected components in the subimage. A copy of the subimage is scanned by the computer (i.e., each pixel is evaluated), starting at the upper left and proceeding from left to right and top to bottom until an ON pixel is found (step 160). The coordinates of that pixel are saved, and initially represent the current best information regarding the corners of the bounding box of the connected component to which the found pixel belongs (the bounding box is fully specified by its upper left and lower right corners). The found pixel and all its 4-connected neighbors are turned OFF (step 162). As each pixel is turned OFF, its coordinates are compared with the current corner coordinates. If either coordinate is outside the range of the current bounding box, the appropriate corner coordinate(s) are updated to enlarge the now-current bounding box. The technique for finding and turning off the 4-connected neighbors is described in Paul S. Heckbert, "A Seed Fill Algorithm," pages 275-277 and 721-722 of "Graphics Gems," edited by Andrew S. Glassner (Academic Press, Inc. 1990).
Once a connected component has been erased and its bounding box coordinates saved (step 165), the scan begins again (step 167), starting immediately past the position where the first pixel in the just-erased component was found. If another ON pixel is found (test 168), the sequence starting at step 162 is repeated. Once the resumed scan fails to find an ON pixel, the procedure is complete, and the relevant bounding box information can be extracted. In the case of the embodiment illustrated in FIG. 4, the bounding box with the largest perimeter is selected. In the case of the embodiment illustrated in FIG. 5, the bounding box(es) having the rightmost horizontal coordinate and the bottommost vertical coordinate provide the border line information sought.
FIG. 7 is a flow diagram illustrating two optional techniques for removing certain types of noise from the modified subimage prior to counting ON pixels. These techniques are tailored to the type of noise often found in fax transmissions, namely thin horizontal lines, one pixel thick due to transmission noise, and pepper noise (isolated ON pixels distributed over the image). Pepper noise is also often found in scanned images. The figure shows a regime for performing both types of noise reduction, it being understood that both are optional. The modified subimage is copied (step 170), and the copy is opened (step 172) with a horizontal hit-miss SE 175. This has the effect of projecting out the thin horizontal lines. The modified subimage is optionally opened (step 177) with a 2�2 solid SE 180. The result of step 172 is subtracted (step 182) to remove the horizontal lines.
Other possible approaches are described below, but for the reasons also set forth, are believed to be less robust in the presence of the anticipated type of noise and distortion.
One approach is to attempt to remove the printed lines bordering the mark-sense field. Each subimage could be opened for horizontal and vertical lines, and the result subtracted from the original. However, the horizontal and vertical border lines are likely to have edge noise which would also have to be removed. Further, if the box were filled in, the hand marks would be removed, and if the hand marks were nearly horizontal or vertical lines, they would disappear. These problems are partly overcome by using a generalized opening for an edge of a horizontal and vertical line, but this will be largely ineffective if the printed lines are too thick, and also suffers from the problem that handwritten marks that are nearly horizontal or vertical would disappear.
Yet another approach is to count all the ON pixels from each subimage, make a histogram, and look for a break between the marked and unmarked fields. Heuristics can be used to estimate in advance how many pixels are expected to be ON from the printed lines alone. However, if the border lines are heavy, discrimination will be poor because the number of ON pixels added by the hand marks will be relatively small. Moreover, variations in the width of the printed lines may mask the hand marks, especially if the latter are written lightly (e.g., in pencil). Moreover, if most or all of the fields are marked, the histogram would probably not show a clear break between marked and unmarked boxes.
A current embodiment of the invention is implemented in software on a personal computer. Source code in the C language for performing the various types of morphological operations on a Sun Workstation is disclosed in U.S. Pat. No. 5,065,437, titled "IDENTIFICATION AND SEGMENTATION OF FINELY TEXTURED AND SOLID REGIONS OF BINARY IMAGES," the disclosure of which is incorporated by reference.
In summary it can be seen that the present invention provides a robust technique for determining whether there are hand marks in a mark-sense field on a form. The technique takes into account the various types of misregistration, distortion, and image noise that are likely to be present.
While the above is a complete description of the preferred embodiments of the invention, various alternatives and equivalents may be used. Therefore, the above description and illustrations should not be taken as limiting the scope of the invention which is defined by the claims.
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|International Classification
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|European Classification
|Mar 20, 1992
Owner name: XEROX CORPORATION A CORPORATION OF NEW YORK, NE
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST.;ASSIGNOR:BLOOMBERG, DAN S.;REEL/FRAME:006068/0094
Effective date: 19920320
|Sep 16, 1998
|Fee payment
Year of fee payment: 4
|Dec 11, 2002
|Maintenance fee reminder mailed
|May 23, 2003
|Lapse for failure to pay maintenance fees
|Jul 22, 2003
|Expired due to failure to pay maintenance fee
Effective date: 20030523


text:
ESET Antivirus Support is a helpful tool for people around world provides protection of mobiles/personal computers/tablets/iPad. ESET phone number for UK and US customers for personal assistance is provided through by ESET UK Support and ESET US Support. The toll free numbers of ESET US Support is 1-800-976-3009, while, 0-800-098-8545 is ESET UK Support. The ESET Technical Support is a solution which is a just a phone away. The tech support is a technical assistance provided worldwide where any customer can connect with ESET UK Support and ESET US Support. There are dedicated and certified technicians who provide ESET antivirus support which includes downloading of software from internet and other protection resources. Apart from this, ESET antivirus support includes installation, virus scanning and protection of electronic devices.
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Toll free Number:

subset: commoncrawl


text:
But IIHS spokesman Russ Rader says that his group is also playing a part in getting these seat designs rolled out before the law requires it. "Part of what's driving it is that manufacturers have to earn 'good' ratings in the rear test in order to get the Top Safety Pick designation," says Russ Rader, spokesman for the IIHS, adding that automakers are using it as a competitive advantage.
The IIHS rear crash protection ratings are based on two categories of testing: first, on geometric measurements regarding how close the head restraint is to an average man's head; and secondly, on dynamic ratings that test the seat and head restraints on a sled, simulating a velocity change of 10 mph, which is like being in a stationary vehicle struck at 20 mph.
Over the next year, we'll also start seeing some changes to back seats, too. Phasing in beginning in September 2010—and required by September 2011—is a new federal requirement that rear-seat head restraints be mounted as high as 29.5 inches from the occupant's hip (the same height as for front-seat restraints)
Volvo S80 Anti-WhiplashSeatEnlarge Photo
The new seats might cost slightly more in some cases—especially the ones with active restraints that move upward and forward in an impact for better support—but it's nothing compared to the pain in the neck the injuries have proven to insurance companies and motorists. Neck injury is the most common injury reported under the two most common types of auto-injury insurance, according to Rader, and the annual cost amounts to $9 billion—one quarter of all accident-related injury claims.
Even considering the new seat design in the Sebring and Avenger, these two models still scored an 8 out of 10 for Safety in TheCarConnection.com's Meta Review because of imperfect (four out of five) scores in a couple of federal ratings and because electronic stability control remains an option—even for top-of-the-line models. For more information on how safety measures up from model to model, within their respective classes, be sure to read the Safety tab of our full reviews and check out our expert editors' Bottom Line takes for any vehicle you're considering.


text:
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text:
Dear You
12 March 2012 § Leave a comment
Dear You,
How are you today? I hope you find.. So, yay, that's true now I'm thinking about you. Maybe I'm miss you. Oh, when I meet you please tell me what I must to do to make you happy. Or you just be happy with when I'm being me? I hope so.
Do you know about the universe? Do you believe about that? Okay, maybe it's silly but I believe about universe things. Coz I know, someday you will read this and you have a same feeling with me..
Why I feel confident about that? Coz I writing this letter special for you. The man who I really miss it since I a little.. The man who I believe will never broke my heart. The man who I believe will try not to hurt my heart.
Yes, coz I believe you are be the man that I'm dreaming and looking for. Yay, when I read this, I will smile and feel bless to know you.
Our journey is not easy, I know it before I met you. But I believe we can do it. Because we have love. And you believe in love too.
Oh, where are you? I want write the letter and put your name on it..
The time when I miss you is feel special. I believe when I met you someday and you hold my hand, that will be a special story for my life..
We will fall in love everyday.. We will fight for our relationship. We will learn how to understand each other. We will try not to hurt our feeling. We will never give up until we getting old.
Coz, that's a love. The love that we really miss it everyday until the time meet us together.
I know you looking for me like I'm looking for you.
I know you pray for me like I'm pray for you.
I know you want to love me like I want to love you.
Dear you, hope someday I really know you.. Hope someday I really meet you in the person. Hope someday you can be honest about our relationship and we can learn together to built our relationship.
Dear you, I miss your smile so bad…. I wish you were here right now…
From me…


text:
The Chronicle, September 6, 2011
Researchers long ago established that certain medical procedures are performed at dramatically different rates from place to place, and that these disparities affect the quality and cost of health care. Now, health insurers, hospitals and government agencies from the Bay Area to Washington, D.C., are getting more aggressive about tackling variation in medical care. The issue will surface in San Francisco with a collaboration that started this summer among Blue Shield of California and some local hospitals and physicians, aimed at better coordination of patient care for about 26,000 public employees. The partnership is modeled after a similar one in the Sacramento region whose early efforts to rein in variation resulted in training doctors in newer medical techniques and offering patients less-invasive treatment options. In the case of weight-loss surgeries, procedures fell in one year by 13%. Also this summer, the Centers for Medicare & Medicaid Services started using a new data-mining technology to detect and prevent fraud in the Medicare program, the federal health insurance program for people 65 and older. Extreme variation in care is one pattern the technology will be looking for.


text:
You've been diagnosed with cancer.
You're unsure of what to do or what your treatment choices are.
At times like this it's easy to jump on the first treatment presented to you, and that is one option. Another possibly better option is choosing to join a clinical trial to get the best-known treatment as a minimum or better.
Neil, a friend and Macmillan representative lost his life to cancer in 2013. Did he have to?
You see the latest treatment was only available as part of a clinical trial, yet he was not invited to join one.
Why? Because he didn't know it existed and that he could have taken part.
At YourTreatmentChoices.com we believe your treatment is your choice and our mission is to improve your access clinical trials.
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The information will help you ask your doctor about a clinical trial and your best treatment choice and gain a referral to a specialist blood cancer clinical trial centre.


text: Durham's very large and relatively young room, Motorco has yet to offer a consistent stream of touring acts appropriate for its 500-plus capacity. Smartly, with Bull City Undercover, booking manager Chris Tamplin borrows another idea from his time spearheading the rock 'n' roll shows at Raleigh's Tir na nOg. Local bands or motley assemblies of townies who happen to play instruments choose a famous (or infamous) act from the past and do their best to do that band justice—their look, their sound, their style. It's a good way not only to fill an empty hall for a long weekend (Undercover runs from Thursday to Saturday, starting at 8 p.m. each night) but also to integrate a load of musicians into a single inaugural event. Back in Raleigh, the concept even spawned a few new permanent acts. No one knows who covers what bands until they take the stage, so go in hopes of surprise. The acts include Cantwell, Gomez & Jordan; Tripp and The Stars Explode.—Grayson Currin


text:
New standard guides SMEs to better performance
A new British standard has been drafted to provide guidance to small and medium enterprises to implement externally certified environmental management systems. The standard's step-by-step approach, based on the Acorn Trust's supply chain project, should help SMEs understand legislation and reduce their impacts.
Sorry you do not have access to this article. Please contact Customer Support at
or call 020 8267 8120


text:
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The Five
FOX News December 2, 2013 2:00pm-3:01pm PST
2:00 pm
8:00 p.m. tonight we'll explore the other side of the holidays that we're missing. a good laugh and to be laughed at. sometimes it's just priceless. >> almost a disaster. we're at our new north pole studio in mill pete as, california. can you believe us? i'm greg and kimberly, and she snow-skis on a wish bone, dana perino. surprise, this is "the five." >> the white house has spoken. the obamacare web site is success and by their measure, why not look at other government successes. the postal service, the dmv, green jobs, war on drugs, the irs, obamacare hit rock bottom. a high-speed train to failure.
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is it really a success even by their own claims? maybe, much like a one dimensional town in a gun smoke episode, it looks real but don't lean on it. it could fall. signing up for
car is like poking root kill with a. the only movement is from the stick. like mine after five day thursday the tropics it ain't working. so, obamacare's real success is showing the gulf between public and private standards. private profits from pleasure to standards are high. publicken sures survival. failure unmeasured blossoms, requiring more bureaucrats to manage the disaster so instead of putting out a fire we hire more arsonis arsonists but demos shouldn't fret.
2:02 pm
this may pass if the republicans chase sillier stuff. small pointless battles help deflect from
's hellful
now the president is hospital at the hall and just gave the
a brand new car. its up to them if the choose door number two. sound like you're yelling. >> yes, but look amazing. >> dana, they're saying -- >> they set themselves up for the deadline. no mary what looked like -- >> if they believe it is going to be true. >> why are you laughing at me? >> these shots are a little odd. when it's -- these shots
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are a little odd. they're coming at you when you're talking. i can't pick my nose. >> four points that are very quick, then you can move on to someone who doesn't look so weird. >> okay. i think they have deeper problems than this website. the first one is the price. the sticker shock is a problem. as you said,
care doesn't cover sticker shock. it's not just on the premiums. it's on the deductibles. the number of young people not participa participating. that is going to continue to be like the jeng ga game, pulling that piece out. the third one is choice. you were choice of doctor. people are starting to see how narrow their choices are going to be. the fourth one is the legal challenges which are mount up. when the supreme court decides to look at one key part of it, that also makes it more difficult to get on message and stay on message if their policy isn't working out. >> i counted five things. >> well, you know, that was a bonus. bonus round. >> so eric they said 125,000
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people signed up versus a prediction of 800,000. that's like a pitcher's batting average. >> i'll take it one step further. what they're saying now that it's working or 80% of the time is that they can handle 50,000 people at a time and they hope to handle 800,000 in a day. a little point of reference, fedex will deliver 22 million packages today. amazon website handled 1.1 million requests per hour. walmart.com processed last thursday 400 million page views. and ebay will have over 4 million page views in a day. so nowhere near what the private sector can do. it's a perfect example. if you're in college and you're going to business school and you want to go, how does government stack up compared to private industry, take a look at these, the numbers are
in your face. by the way, wait until the security problems start kicking in. one of the boxes you have to check to sign up for health care is that you agree that you have no reasonable expectation of privacy. >> that should have been my sixth point. >> they're giving you every reason to believe you have no
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reasonable expectation. >> and here's the point, like i always say, what good is the front end if you don't have a back end? and that's what the problem is. >> you ain't got that problem. >> i'm telling you, because so far, the front end of this is working, the back end is not. individualings are not able to verify they, in fact, have coverage. greg is afraid to make eye contact with me. >> i'm just thinking that you work the front and the back end equally. >> i try to do my part. this website doesn't. that's the problem for americans that are relying on coverage or for doctors to get the proper information, to collect information. you won't be able to verify you have coverage. that's the problem. >> the back end. >> the back end. >> speaking of the back end. >> bob. >> no, bob is -- >> poor bob. >> unnecessary. at least that wasn't me. that was dana. >> unnecessary roughness. >> she took an easy shot. kathleen sebelius, her tip was
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to use the website during peak hours. that's like saying shop for christmas in march. >> number one, my ear piece is too loud so if you're trying to talk to me, i took it out. >> that explains a lot. >> secondly, let me just say that all this doom and gloom you all predict, it may happen, it may not. in california, it's been a raging success. kentucky, it's been a raging success. people who never had health insurance before now have it. washington state, the same thing. interesting about those states, they're the ones where the democratic governors set up their own computers for exchanges. where the republicans governors who are hellbent on stopping people from getting health care reform. i grant you the federal government couldn't handle it but if the republican governors and their legislatures had stopped paying politics and agreed to do something -- >> then the website would have workeded? >> there wouldn't have been as many people on the website. >> can you define raging success? is 90% failure away from your goal a raging success because so
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far they've only signed upped technically -- >> they signed up about 43,000 -- >> okay, look at -- >> who have not had insurance before. >> they may get a million by the end of december -- >> you keep saying it's going to be cost, costs. you know with these new insurance policies -- >> i'm just using your words, where do liberal, get off calling this a raging success? >> i said in states where it wasn't republican obstructionism. >> you blame it on republicans? >> of course. >> can you imagine what constitutes a failure? what could be a failure? >> excuse me, the number of people getting these insurance policies, yes, they have to pay higher premiums but they will be spending much less for health care because they had lousy insurance policies before, they had to shell out a lot of money out of pocket, and on these new plan, they won't have to. the last thing i'll say, i talkeded to a guy who had 400 employees, he said, this talk
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about throwing employees off their health insurance, he said, nobody's going to do that, that's crazy. >> i like your science there. some guy you talked to told you that. >> he owns a company. 400 employees. >> yeah, but we can't use vivid video as an example. >> they have more than that. >> i want to talk about
's polling number. he was interviewed by i think her name is barbara walters. a delightful woman. about his polling numbers and his popularity and his trustworthiness. let's roll this, shall we? >> are you worried you won't be able to get things done because of this lack of support? >> well, barbara, if you remember, i've gone up and down pretty consistently throughout. the good thing about when you're down is that usually when you nowhere to go but up. >> it's hard to sit opposite you, mr. president, and say this, but a lot of the criticism, it's personal.
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people just don't think you're trustworthy. >> i don't think that's true, barbara. the truth of the matter is i got re-elected. in part because people did think i was trustworthy and they knew i was working on their behalf. >> strange answer. >> yes. >> strange answer. strange prep for that answer, i have to say. >> really, what would you say? >> i think he could have said, barbara, i've seen those numbers and they concern me. want the american people to know they can trust me and i'm working hard on their behalf. something instead of "well, i don't think that's true." it's barbara walters looking at the gallup poll. >> it's amazing to me, in today's american politic, things move rather rapidly, and i guarantee the republicans figure out a way to do something that will increase
's poll numbers. >> i agree it also because, a the republicans will always be the viable villain for the media. they're going to find something that the republicans do next that will take away. because
is their guy.
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>> hopefully, the republicans are smart enough to stay out of
care. you wonder why it's the topic every single day. because it needs to be -- >> how about something of their own -- >> but it shouldn't be contraceptives, it shouldn't be gay marriage. it should be health care.gov,
care going forward, because this is an epic fail. by the way, as soon as the website's back up and rolling, then you get into the real problems with
care. >> can you tell me what the republican agenda is for the next year? >> we have
care. that's what it should be. >> no, i'm talking about all for next year. nothing? nothing? >> that's their job -- >> it used to be climate change. >> greg, the problem is dana hit it on the head, because this guy is a discounter. he's not going to acknowledge any kind of failure. he can't even accept the fact the american people distrust this. she asked a great question. he dodged it and missed a great opportunity to connect with the people, to let him know he actually cares, to show some
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humility, that he wants to earn their trust, and say something about how he's going to do that. because just blaming it on the republicans and everyone else all the time or bad polling isn't cutting it. >> he should have done something different. or take the opportunity to say, by the way, my trust numbers are down and i can understand why the republican trust numbers are down to 9% -- >> i think that hurts him. the the more he does that, the more people go, we have heard enough about that. what about you, president for the next three year, let's get going. >> if the election were today, he would not be re-elected. >> that's the thing, he's not -- >> i'm sorry if you're a trend read, and you are, the polling trend is down. he's under water 11%. and it's getting wilder and worse. you can't step up and say this is it. >> there's only two ways to bring your number back up. do something significant, which i don't think there's much to do. or have the opposition party
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screw up. i think they will. >> or war. >> or go to war. >> or economic numbers which they could get some better ones this week possibly. >> they said the economy's supposed to grow, according to baron's. it was supposed to grow 1.7% -- >> or find another bin laden. >> this might change everything this is david fluff, is that his name, david fluff? >> close enough. >> on this week talking about when we expect
care to work. i think this is a bright part of the rainbow, whatever that means. >> may take until 2017 when this president leaves office. you're going to see almost every state in this country running their exchanges and expanding medicaid. i think it will work really well then. >> there you go, 2017. that's
around the corner, kids. >> it's going to be awesome when he's out of office, that's what he's saying. >> if we just believe in the greater good, this will work out. >> just remember, it took medicare a good six or seven years before it got settled down to work.
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>> now it works. >> don't you think it does? >> no. >> you want to privatize it, don't you? >> i would like to. >> that's not what paul ryan says. >> let's not minimize what it is. i'm saying let people keep more of their own money in taxes and let's not fund a program that, frankly, isn't working, and rife with waste, fraud and abuse. >> and vouchers,
? >> what's wrong with re-examining it and taking a closer look and being more fiscally responsible, while at the same time providing good quality care for americans? >> the thing is, any time a republican offers some kind of option, it is demonizing as being greedy or pushing grandma off the cliff. it would be great if both sides analyzeded what options were out there together equally. >> they did that. they tried that with simpson/bowles and look what happens. >> i don't know what that is. >> you don't remember? >> no. directly ahead, for some reason, today is cyber monday. could drone delivery be in our new future? and later, barbara walters, a
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saint, releases her list of the ten most fascinating people of the year. the burning question? why do we care? that debate and more coming up on "the five."
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♪ it's a great day to be alive all
, cyber monday is sheer. while online shopping is already very convenient for millions of americans, and we should know, could you imagine if your christmas packages were delivered to your doorstep in a few minutes by a miniature drone? sounds like science fiction but it could become reality. amazon's ceo unveiled his amazing plan for the not so distance future last night on "60 minutes." >> these octo coppers. these are effectively drones, but there's no reason that they can't be used as delivery vehicles. drops the package. >> there's the package. >> come and get your package.
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we can do half hour delivery. >> half hour delivery? >> half hour delivery. we can carry objects up to five pounds. which covers 86% of the items we deliver. could it be, you know, four, five years? i think so. it will work and it will happen and it's going to be a lot of fun. >> all
, kimberly, that's the free market at work, lots of innovation, ideas coming out of amazon. this one, though, really got people bothered. >> why? >> a little background. the pr people at amazon told "60 minutes" i have a big surprise for you, and they were like, we've seen this all before. but it was and it got everybody talking. but you like the drone idea? >> i love shopping. i love amazon.com. i'm a prime member. i love drones against bad guys. if they want to bring presents, they can do that too. i love fact you can order something. the immediacy of it. think it's good for the economy and retail confidence.
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i like the technology behind it. i'm sure they'll work it out. >> they're going to need an air traffic controllers at your house to take the number of drones that are coming down. >> you ain't kidding, bob. >> let me ask eric, does this give you hives, the idea of the private sector and drones and the ability of anybody to do this? >> i think what he did was -- he doesn't really think he's going to be delivering packages in 30 minutes via drone. i think what he's doing is saying we're going to continue to innovate, continue to find the next best thing to bring things to the customer faster, cheaper, better, in interesting ways. this doesn't look logical. how are you going to get something 30 minutes? >> you get a pizza from dominos, 30 minutes or your money back. >> you don't even get that. they pulled that offer because they were giving away too many pizzas. i think he's very smart. the thing about bezos, though, amazon doesn't even make a profit. it's worth, you know, hundreds of billions of dollars and can't turn a profit yet. what they're doing is they're showing the world they can
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innovate. nope, they're not profitable. >> just in time to save the day, government announced they're going to be holding hearings about this. you think that's a good idea? >> you know what's a good idea, if these are miniature drone, you should be the spokesperson. >> great, i could fly on them? >> that was an insult. >> i'm thinking it could be job security. better than elf on a shelf. >> i'm looking way ahead. this isn't about delivering things, it's about you going places you don't have to go to. if you have to go to a meet, a droerngs which is equipped with a camera and a speaker, you can go to a meeting as your drone. pretty soon, there will be drone parties. because i don't like going out. if my wife likes to go, she can go with my drone. my drone can sit there and just listen to kimberly drone on and on about whatever. >> you wish you got invited to my party. >> drones will replace people for actionings that we don't want to do. >> drones are going to start drinking and it's going to be a terrible night. >> bob, you can date a drone,
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it's going to be exciting. >> i've dated plenty of drones, believe me. >> when it comes to the innovation in the private sector, do you think -- i was thinking last night watching that because there's such a contrast between health care.gov and
care versus what they can do, innovate. >> you're seeing the elimination of the human being in the system, in the sale cycle. people want -- amazon delivers groceries to people's homes. you don't have to go to a brick and mortar grocery store anymore. it will be delivered from a distribution center. technology is replace the human being with drones and trucks and things like that. so -- but it is more efficient. i'm all for it. >> we have a second great topic. i'm going to ask if we can hold this for tomorrow, about the minimum wage. i'm going to ask bob, have you done any online shopping? >> i do all online shopping. i can't stand the people, i can't stand the teenagers with their pants down around their
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ankles and all the teenage girls look like hookers and all the baseball capped turned on sideways. i can't stand it. >> $600 tanning cream skwlin, you got ripped off? >> no, i didn't get ripped off. >> that's a good point. let me just -- >> let me ask a serious question -- >> -- avoid online scams. >> can i ask a serious question? on a serious note. how many people you think are going to lose -- how much will it replace people, these mechanical things? >> i know where you're going with this, bob. that's the reason why
care can't create enough jobs -- >> because productivity's getting so much better. >> innovation has improved. >> that means there's going to be people -- >> displaced. >> you know what's worse, when the better robots replace the older robots. what about the older robots? where are they going to go? they have feelings too. what about the toasters?
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the robot toaster? >> they all end up in your basement. >> i lost total control of this segment. if you go on the facebook.com -- what is it, the five facebook -- the five facebook page, we have tips to avoid scams that can happen to you if you're shopping online. you can find it online as well. up next, the lightning round on three hot topics in the news. bob and i are taking victory laps after calling winners of some big games this weekend. ron burgundy does the local news in dakota. and new details about the tragic death of paul walker. ready to run your lines?
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[ as a southern belle ] aflac. [ as a cowboy ] aflac. [ sassily ] aflac. uh huh. [ under his breath ] i am so fired. you're on in 5, ck. [ male announcer ] when you're sick or hurt, aflac pays you cash. find out more at aflac.com.
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on the table by not choosing the rit medicare d plan. no one could hav left this much money here. whoo-hoo-hoo! yet many seniors whoompare medicare d plans realize they can save hundreds of dollars. cvs/pharmacy wants to help you save on medicare expenses. talk to your cvs prmacist, ll, or go to cvs.com/compare to get your free, personalized pl comparison today. call, go online, or visit your local store today. ♪ she grew up tall and she grew up
♪ all
, ready for another installment of our fast, fierce
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and fun lightning round. three stories in the news today. first up, best football game ever. if you missed alabama at auburn, here's the unbelievable winning touchdown off a missed field goal against the national champions oh, by the way, with no time left on the clock. >> the back of the end zone. he'll run it out to the 10, 15, 20, 25, 30. 45. there goes davis! oh, my gosh. davis is going to run it all the way back. auburn's going to win the football game! auburn ace going to win the football game! >> all
, mr. bob beckle, you won the bet, take your victory lap, my man. >> first of all that guy, that announcer man, i'll tell you be he's not going to be able to speak for weeks. why did the alabama coach after having his place kicker miss two field goals from 30 yards decide to do that from 56 yards out? because we had the dinner, i would ask you to take me to say,
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whatever that -- >> per se. >> per se. which you can afford. it's french. i don't like french so i'm not going to go. >> i think i could be invited to go because i correctly predicted that auburn would win because my friend susan went there. >> i don't get any respect for my football knowledge. >> we had a hidden camera in bob's den. look at how happy he is just over winning a dinner bet. watch. >> go, go! you can run it out! you can run it out! go, go, go! oh, my god, oh, my god, oh, my god, oh, my god! oh! oh, my god! we did it! we did it! >> we've all been there, bob. congratulations. good job. >> my sister's granddaughter -- i'm only kidding. >> what is wrong with bob?
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>> i love college football because it's exciting, you never know what's going to happen. they play it much more fast and loose, take chances which makes it exciting to watch. >> great game. you called it. >> i did. >> i think it's disgusting that as a show we would celebrate a violent sport whose only primary goal is to win. i feel bad for the losing players. i don't think in these games there should be scores. there shouldn't be contact. and there shouldn't be a ball. i find this whole thing repulsive. by the way, the greatest game over, 1982, stanford with the play. this is disgusting. >> i'll take this over that because -- >> you didn't see that game. >> liook how awesome american sports are. >> anyway, let's move on. ron burgundy is a fictional anchor man. an amazing brand build, doing dodge commercial, the leno show, and this weekend he delivered a
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full local newscast in character. folks, "orananchor man." >> i'm amber shots. >> and i'm ron burgundy. thank you for joining us tonight. amber, you look lovely. >> thank you. >> are you married? >> no. >> i am so don't get any ideas. >> there's also mo-vember for mustaches. >> i'm fond of those. >> how long did it take you to grow out that bad boy? >> about 20 minutes. >> impressive. >> you guys did a good job tonight. that was a good warm-up. >> greg. >> i guess it's funny but i don't need to see this because i see this every day. anyway. >> yeah, what time do you see this, greg? >> funny thing about this is the joke is on them. that's the funny thing. >> i thought it was very humorous. >> that's true. >> it is true. >> it is true. i love local news. i love it. i love watching local news. >> i love new york 1. >> for us to sit here and go,
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ha, ha. i thought she was great. >> what happened to your sense of humot out of the country? >> what about you, anchor man? >> i thought he did a great job. no reason -- no problem with going to north dakota. they've got some great anchor people everywhere. great news people around america. when that kid was jumping up and down, he pulled that kid next to him on to the floor. i didn't mean my sister's granddaughter got killed -- >> we got it. >> bob, wow, wow, wow. >> i'm excited to see it. i think he's supertalented and funny. a hard worker. great promoter. >> great point. this guy is make the anchor man brand bigger and better. >> i actually might go to the movie theater. >> i don't need it to be bigger. i need him to turn down the emotion a little bit. a tragic life imitating art. actor paul walker was the star of the hit movies "fast and furious." he was in the passenger's seat of his friend's car when they hit a pole, killing both. died tragically in the very same style his movies embraced.
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k.j., a loss for a lot of people. >> i'm a big fan of paul walker. i think he's a really good actor. he's a great father. he has a little girl he's leaving behind so i'm very sad for her to grow up, you know, without her father. i know what that's like from my mother's side. but, you know, he'll be missed. he was, in fact, making one of the installments of the "fast and furious" series at the time of his death. >> the one where they pulled the bank vault out of the -- i thought he was a good actor, very sad. >> crazy he died in the same way, same genre as his movies. >> i never saw the movie. i do feel bad for his family. he had a lot of fans. >> he did. vin diesel. i'm sure he misses him. >> yes, it's sad when people die. it's not tragic. there were four people that were killed in a derailment in a train who weren't racing.
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they died randomly in a horrible way. injured 63 people in new york city. it was a very, very bad accident. why are we talking about this guy? because he's famous and he raced cars. those people on the train, they weren't famous, they didn't race cars. so it's sad, but tragedy is when it happens randomly. >> it sounds like the train was -- 82 into a 32. latest news on that. >> directly ahead, what do miley cyrus, the pope and the stars of duck dynasty have in common? they're on the list of barbara walter's most fascinating people of 2013. next on "the five." and ah, so you can see like
here i can just...
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you know, check my policy here, add a car, ah speak to customer rvice, check on a claim...you know, all with the ah, tap of my geico app. oh, that's so cool. well, i would disagree with you but, ah, that would make me a liar. no dude, you're on the jumbotron! whoa. ah...yeah, pretty much walked into that one. geico anywhere anytime. just a tap away on the geico app.
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the robertson family have "duck dynasty." reality star kim car dashian and fiance kanye west. some of barbara walter's most fascinating people of 2013. also on the list, jennifer lawance, gp ma anchor robin roberts, miley cyrus, prince george, rt royal baby, long distance swimmer diana nyad and pop francis. i know you're incredibly excited about kim and kanye. >> to put those people on the same list as the pope, it's unbelievable to me. first of all, i feel sorry for their kid to have kanye and kardashian plastic as their mother. beyond that, miley cyrus, are you kidding me?
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they got a porn convention every year in las vegas, she could win out there. >> so glad we started with bob. >> interesting list. i'm try to figure, it's supposed to be the most fascinating people so is it the most fascinating celebrates? if you eliminate celebrities which is what i would do, it would come down to -- like the duck dynasty people. it would be the pope. i think he's amazingly fascinating. number two would be ed snowden. a guy who literally changed what's going on in american politics. >> bolling, look at your picks back there on our banner. most fascinating. snowd snowden, pope francis. i hope the winner is in the middle because miley, my goodness, interesting. >> i look forward to the barbara walters special every year because -- i know greg's going to say this is lame, but i like those end of the year lists to say, okay, look back -- >>cy do think the miley cyrus pick was purely for ratings and
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not for content. i don't find her fascinating. >> there's content there but it ain't in the -- >> i do think she missed an opportunity to find somebody in philanthropy. and maybe pick somebody obscure or somebody -- like a younger person that's doing something amazing around the world like this pencils of promise we learned about. or someone from -- >> also there were several medal of honor recipients that could have been chosen. they don't make the list. they're not on the cover of "people" magazine. >> kim kardashian and kanye, anyway, please it can't be them, there's no way. greg, please say something nice and contribute to this segment. >> i'm not. human beings don't walk around and say i'm fascinated by something. you don't sit around and go, oh, look at that, that's fascinating. fascinating is a fake word created by people in print and tv when they have nothing else to say. it's a stupid fake word. persons, individuals in and of
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themselves are not fascinating. phenomena are fascinating. why we're living here on this planet. that's fascinating concept. but when you look at a person, you don't go, ooh, that's fascinating. i hate stories like this. hate the idea of doing it on the show. it's stupid it it. it's a waste of time. >> did you ever play the grinch before when you were -- >> yes, i did, on fox and friends and they edited it out, it was so bad. come on, do you walk around and go, ooh, that's fascinating? >> about miley cyrus -- >> -- have nothing to say when -- >> i think it's more like the idea of people are interesting -- >> you think miley cyrus is interesting? >> try to kick a 57-yard field goal when it's never happened by this kicker in alabama history. >> that's interesting. >> that's kind of fascinating. >> dana, since you like to participate in these segments, i'm for sure going to miss it because i love watching these specials. i find them interesting and fascinating. >> yes, because she's important. >> i think she is important for
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what she's contributed to journalism, especially as a woman. dana, we know a lot of these people. 2012, the winner, general david petraeus. that was a great choice. >> well deserved. he'd won it before as well in 2010. >> little trivia
there. >> now you got kim kardashian. what a comparison. >> j.k. rowling, nancy pelosi. laura bush. karl rove. hillary clinton. lance armstrong. mother theresa. very good choice. prince williams. the royals. and nelson mandela. barbara will pick a winner again this year. good choice. >> -- whatever her name is. >> kim-ye. coming up, a disturbing new poll shows americans don't trust each other very much anymore.
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okay: .
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one of the nutty things that makes america great is we're for the most part friendly people.
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easy to get along with and trust worthy. that may be eroding. according to a poll, surprisingly one-third of americans say most people can be trusted as opposed to '72 when almost half the country felt that way. a record high say you can't be too careful in dealing with others. this is when the crime rates are down all over. there's got to be a reason for this. what do you think, eric? >> i don't know that the crime rate's high. i think violent crime is down. the thefts and the bernie madoff things and those types. i don't trust liberals. i don't trust anyone with my medical records. >> you had to bring it to that. okay. >> i think these numbers track the way people feel about the general direction of the country. a country on the wrong track or the
track. i think this is similar. i also think it has to do with the major institutions failing
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people. you can look at the catholic church and what happened in the '80s and '90s. i think that affected a lot of people. government doesn't live up to expectations. if you look at the financial crisis of the fall of like even that institution would let them down, so i don't know if it's in the personal relationships, your neighbor to neighbor, but certainly institutions have fallen away. >> greg. >> i think it's a couple of things. one, i think it's our fault, it's the media. consumer reporters have made it impossible to trust anyone. they're always doing something where they're catching somebody trying to rip you off. think about all the health scares and the media scares of the '80s and the '90s, whether it was heavy metal being satanic. we were supposed to be wary of anybody that was a stranger. hitchhiking was bad, food scares are bad. we created a divisive nation. we have people more interested in who they are in ethnicity or
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gender or whatnot instead of what they do and i think that creates a lot of resentment between people. i think that's a huge thing. then i think maybe it's not a bad thing, maybe it's okay to be skeptical. >> agree with that. what's wrong with not trusting. >> you wouldn't know how to exist without being it would th off your game. what do i do now? hey. this is not a surprise because we had pretty much six years of economic downturn, we had wall street collapse, we had bank bailouts, we had chronic long-term unemployment. sorry to be debbie downer, but these are the things, the realities of the everyday life in existence of americans so of course they're going to be a little skeptical, plus they're more well informed in terms of ability to get news and information from a wide variety of sources, whether you go online or cable news or read newspapers, et cetera. so it's all out there. i think if we continue to pull ourselves out of this and prosper as a nation, people might get a better attitude. >> my view is it has a lot to do
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with isolation. i think people are spending less an less time engaging one another. they are in the internet, they're sitting at home, they're going on twitter, they're doing all these things that keep them away -- when was the last time that you saw anybody write a personal note to somebody, handwritten note. the idea of engaging people, i think you've got to trust people when you engage them. if you don't engage them and you're hiding out on the internet or playing those ridiculous video games, i think that's part of it. >> a lot of crimes get -- when we talk about cincinnati or is it cleveland, neighbors weren't looking out for each other. >> exactly
. >> i want to trust you. i want to trust you. >> we're borrowing the studio, by the way, because we got thrown out of another, lower rated show. all
, one more thing is up next. farmer: hello, i'm an idaho potato farmer. and our giant idaho potato truck is still missing.
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so my dog and i we're going to go find it. it's out there somewhere spreading the good word about idaho potatoes and raising money for meals on wheels. but we'd really like our truck back, so if you see it, let us know, would you? thanks. what?
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it's time for "one more thing." let's start with k.g. you have something very deep. >> i have something deep and important. i'd like to take the next four and a half minutes, please don't interrupt me because it's your birthday, baby. happy birthday, britney jean. it is her 32nd birthday today. she was born december 2nd, 1981. britney spears. >> i love bob doesn't know her. >> she's releasing her next album called "britney jean"
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tomorrow on december 3rd. it is her eighth studio album. >> she looks like cher. >> no, she doesn't. >> have you heard her sister's new single? >> it's fantastic. i was surprised. i didn't even know who that was. >> dana, thank you for contributing to my "one more thing." >> are we turning into "entertainment tonight"? >> i went down this thanksgiving as i always do and put my christmas decorations on my house. this will be the last time i will do this at a home. i will have the best decorated apartment in new york city, that's for sure but i also had thanksgiving, believe it or not, at my ex-wife's house, who is a very good person and her very, very good husband and my two kids. it worked out very well. it's sort of sad to do this last time at a house but we'll have more the rest of the week. >> oh, you got emotional. >> so don't make it your last. >> you want me to do your house at the jersey shore? >> do a stranger's house.
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i do that when i'm drunk. >> oh, boy. >> e.b. >> i had a twitter war with someone, i don't want to mention who he writes for, oliver something. >> you're drinking from the cup? >> so here are the real numbers, here are the facts. these are the real numbers. under president
, four years
's economy, he's created 1.4 million jobs. 927,000 of those jobs are part-time jobs, leaving only 456,000 jobs in four years and during that same period of time, check this out, 11 million people left the workforce, given up, guys. you do the math. if that's success, i hate to see what failure is. >> oh, yeah. >> bob snoring, stretching, burping. >> that was interesting. >> thank you, eric. something happened over the weekend you might not have heard about but you can help participate for people who care about freedom. ukrainian brothers and sisters who peacefully protested in the
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ukraine today in kiev over the weekend because their government tried to move them away from europe and closer to a russian position. that is not what the people of ukraine want. there is a twitter hash tag, #euromaiden. i understand they're in a tough spot, they have to use diplomatic language about fostering a better environment. but if you care about freedom, you can show your support through twitter, #euromaiden. call anybody, try to help them, don't help putin. >> this is a hard story because it's complicated. >> it's complicated, but i try to tackle the big stuff. >> no, i'm glad you talked about this, it's important, but nobody is covering it. >> yeah, you've only got 20 seconds for you. >> all
. banned phrase. i can't believe at this ban this. i checked it out, i've never banned going viral. >> reban it if you did. >> it should only being used in a medical office, it should not
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be used when describing something on the internet. it just means something has gotten popular. >> you didn't say what it was. >> going viral? >> yeah. >> i lost interest. >> don't miss an episode of "the five." we'll see you back here tomorrow. "special report" is next. the new and improved
care website. significant changes or cyberspace smoke and mirrors? this is "special report." good evening, i'm bret baier. while you were chowing down on turkey dinners and leftovers this weekend, the computer technicians behind the healthcare.gov website were frantically working to get their digital ducks in a row. today it was time to see if it all worked. we have fox team coverage tonight. bret is on how democrats may pay a heavy political price for
care. jim angle with what
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