The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 25, 2017

Filed:

Jun. 25, 2014
Applicants:

Irina Filimonova, Moscow, RU;

Sergey Zlobin, Moscow, RU;

Andrey Myakutin, Moscow, RU;

Inventors:

Irina Filimonova, Moscow, RU;

Sergey Zlobin, Moscow, RU;

Andrey Myakutin, Moscow, RU;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/46 (2006.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00469 (2013.01); G06K 9/00449 (2013.01); G06K 9/46 (2013.01); G06K 9/6202 (2013.01); G06K 9/626 (2013.01); G06K 2209/01 (2013.01);
Abstract

Automatic classification of different types of documents is disclosed. An image of a form or document is captured. The document is assigned to one or more type definitions by identifying one or more objects within the image of the document. A matching model is selected via identification of the document image. In the case of multiple identifications, a profound analysis of the document type is performed—either automatically or manually. An automatic classifier may be trained with document samples of each of a plurality of document classes or document types where the types are known in advance or a system of classes may be formed automatically without a priori information about types of samples. An automatic classifier determines possible features and calculates a range of feature values and possible other feature parameters for each type or class of document. A decision tree, based on rules specified by a user, may be used for classifying documents. Processing, such as optical character recognition (OCR), may be used in the classification process.


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