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Document Classification with Prominent Objects

  • US 20160110599A1
  • Filed: 10/20/2014
  • Published: 04/21/2016
  • Est. Priority Date: 10/20/2014
  • Status: Abandoned Application
First Claim
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1. In a computing system environment, a method for classifying whether or not an unknown input document belongs to a group with one or more reference documents, wherein digital images correspond to each of the unknown input document and the one or more reference documents, comprising:

  • applying edge detection to the digital images to detect contours of pluralities of image objects;

    approximating the contours of the image objects to a nearest polygon thereby defining pluralities of polygons;

    extracting prominent objects from one or more of the polygons to derive a collection of features that together identify the one or more reference documents; and

    comparing to the collection of features at least one prominent object from the digital image corresponding to the unknown input document to determine inclusion or not of the unknown input document with the one or more reference documents.

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