12. A method of retrieving electronic documents, the method comprising: receiving a first image; extracting, by an image processing system, strings of text from the first image; assigning a confidence value to each of the extracted text strings, the confidence value being indicative of a likelihood that the image processing system correctly identified content of each of the text strings and wherein assigning the confidence value further comprises: determining whether the first image has noise, the presence of noise being indicative of a low quality image; if the first image has noise, assigning a first confidence value to each of the extracted text strings; and if the first image does not have noise, assigning a second confidence value to each of the extracted text strings, wherein the second confidence value is greater than the first confidence value; forming a search query comprising alphanumeric characters from at least one of the extracted strings, the at least one extracted text string being selected based at least in part on the confidence value of the at least one text string; performing a search to identify a first set of electronic documents comprising one or more electronic documents that include the alphanumeric characters in the search query; when the number of electronic documents in the first set of electronic documents is less than a predefined number, then: receiving a second image; extracting strings of text from the second image; forming a second search query comprising alphanumeric characters of the extracted strings of text from the second image; and performing a search to identify a second set of electronic documents comprising one or more electronic documents that include the strings of text comprising the second search query; and communicating the second set of electronic documents to a recipient.
12. A method of retrieving electronic documents, the method comprising: receiving a first image; extracting, by an image processing system, strings of text from the first image; assigning a confidence value to each of the extracted text strings, the confidence value being indicative of a likelihood that the image processing system correctly identified content of each of the text strings and wherein assigning the confidence value further comprises: determining whether the first image has noise, the presence of noise being indicative of a low quality image; if the first image has noise, assigning a first confidence value to each of the extracted text strings; and if the first image does not have noise, assigning a second confidence value to each of the extracted text strings, wherein the second confidence value is greater than the first confidence value; forming a search query comprising alphanumeric characters from at least one of the extracted strings, the at least one extracted text string being selected based at least in part on the confidence value of the at least one text string; performing a search to identify a first set of electronic documents comprising one or more electronic documents that include the alphanumeric characters in the search query; when the number of electronic documents in the first set of electronic documents is less than a predefined number, then: receiving a second image; extracting strings of text from the second image; forming a second search query comprising alphanumeric characters of the extracted strings of text from the second image; and performing a search to identify a second set of electronic documents comprising one or more electronic documents that include the strings of text comprising the second search query; and communicating the second set of electronic documents to a recipient. 13. The method of claim 12 wherein the predefined number is set to one.