Coarse Document Classification
Systems and methods coarsely classify unknown documents in a group or not with reference document(s). Documents get scanned into digital images. Counts of contours are taken. The closer the counts of the contours of the unknown document reside to the reference document(s), the more likely the documents are all of a same type. Embodiments typify contour analysis, classification acceptance or not, application of algorithms, and imaging devices with scanners, to name a few.
1 . An imaging device, comprising:
a user interface;
a scanner for converting an unknown input document and one or more reference documents to digital images; and
a controller for executing instructions responsive to the digital images upon a user selecting a classifying application from the user interface, wherein the controller is further configured to determine whether or not the unknown input document belongs to a group with the one or more reference documents by determining and comparing counts of contours of the digital images corresponding to said each of the unknown input document and the one or more reference documents.
2 . The imaging device of claim 1 , wherein the controller is further configured to determine inclusion or not in the group according to a delineated probability of acceptance for the counts of contours.
3 . The imaging device of claim 1 , wherein the controller is further configured to take a difference of the counts of contours between the digital images corresponding to the unknown input document and the one or more reference documents and dividing the difference by a maximum count of contours from either the images corresponding to the unknown input document or the one or more reference documents.
4 . The imaging device of claim 1 , wherein the controller is further configured to determine inclusion or not in the group according to an established range of the counts of contours for the digital images corresponding to the one or more reference documents.
5 . The imaging device of claim 4 , wherein the controller is further configured to determine whether the count of contours for the digital image corresponding to the unknown input document falls within or not the established range of the counts of contours for the digital images corresponding to the one or more reference documents.
6 . The imaging device of claim 1 , wherein the classifying application does not include a process for examining the digital images with optical character recognition.
8 . The imaging device of claim 2 , wherein the delineated probability of acceptance includes a range of 0.00 to 0.07, inclusive.