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:
Dec. 13, 2016

Filed:

Jun. 26, 2013
Applicant:

Grg Banking Equipment Co., Ltd., Guangzhou, Guangdong, CN;

Inventors:

Tiancai Liang, Guangzhou, CN;

Kun Wang, Guangzhou, CN;

Weifeng Wang, Guangzhou, CN;

Siwei Liu, Guangzhou, CN;

Assignee:

GRG Banking Equipment Co., Ltd., Guangzhou, Guangdong, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/46 (2006.01); G06T 7/00 (2006.01); G06T 5/00 (2006.01); G06K 9/48 (2006.01);
U.S. Cl.
CPC ...
G06K 9/4633 (2013.01); G06K 9/48 (2013.01); G06T 5/002 (2013.01); G06T 7/0083 (2013.01); G06T 7/0085 (2013.01); G06K 2209/01 (2013.01);
Abstract

The present invention relates to a character recognition method. Same comprises: step 1: reading in a character image; step 2: image preprocessing; step 3: character splitting; step 4: edge extraction; utilizing an edge detection operator to detect edge points of characters; step 5: feature extraction, where the features of each edge point of each character are all expressed with distances running from other edge points of the character to the edge point and are represented by eigenvectors (P, P, . . . P); step 6: feature processing, mapping the eigenvectors (P, P, . . . P) into a matrix, T, thus allowing all characters to be identical in eigenvector dimension; and, step 7: template matching recognition. Because the features of each edge point of the characters are all expressed with the distances running from the other edge points to the edge point, the entirety of the features are ensured for the characters, and the difference in features are expanded for different characters, thus increasing character recognition accuracy.


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