Coarse Document Classification in an Imaging Device

摘要

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.

主权项

1. In an imaging device having a scanned document input and a controller for executing instructions responsive thereto, a method for coarsely classifying whether or not an unknown input document belongs to a group with one or more reference documents, comprising:
receiving at the controller a scanned input from the scanned document input for each of the unknown input document and the one or more reference documents; determining counts of contours of the scanned input for said each of the unknown input document and the one or more reference documents; and determining inclusion or not in the group by comparing said counts of contours between images corresponding to the unknown input document and the one or more reference documents.