14. An apparatus to create graphical object classifier data structures comprising: a sample imager configured to record an image of a card object; a region identifier configured to identify graphical objects within the image by: i) determining pixels that correspond to each graphical object of the image; ii) determining a graphical object type of each of the graphical objects; iii) creating a bounding region for each of the graphical objects such that a border of the bounding region is located at a predetermined distance from segments of the respective graphical object; iv) determining an origin of the graphical object; and v) determining a coordinate relative to the origin for each graphical object pixel; and a training processor configured to: i) determine a statistical probability that features are present within each of the graphical objects, each of the features including at least one pixel having coordinates; and ii) for each graphical object type, combine the statistical probabilities for each of the features of the identified graphical objects of that graphical object type into a classifier data structure.
14. An apparatus to create graphical object classifier data structures comprising: a sample imager configured to record an image of a card object; a region identifier configured to identify graphical objects within the image by: i) determining pixels that correspond to each graphical object of the image; ii) determining a graphical object type of each of the graphical objects; iii) creating a bounding region for each of the graphical objects such that a border of the bounding region is located at a predetermined distance from segments of the respective graphical object; iv) determining an origin of the graphical object; and v) determining a coordinate relative to the origin for each graphical object pixel; and a training processor configured to: i) determine a statistical probability that features are present within each of the graphical objects, each of the features including at least one pixel having coordinates; and ii) for each graphical object type, combine the statistical probabilities for each of the features of the identified graphical objects of that graphical object type into a classifier data structure. 21. The apparatus of claim 14 , wherein the card object is at least one of a credit card, a debit card, a gift card, a pre-paid debit card, a loyalty card, a membership card, a driver's license, an insurance card, a vehicle license plate, a medical card, a prescription card, a club card, an affinity card, a bank check, a business card, and a logo.