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:
Aug. 28, 2012

Filed:

Nov. 21, 2008
Applicants:

Jiaming He, Ningbo, CN;

Jianfen Wen, Ningbo, CN;

Dexiang Jia, Ningbo, CN;

Jing Chen, Ningbo, CN;

Ping Chen, Ningbo, CN;

Chengchen MA, Ningbo, CN;

Zhouyi Fan, Ningbo, CN;

Hongzhen Ding, Ningbo, CN;

Zhihui Shi, Ningbo, CN;

Aijun Shi, Ningbo, CN;

Linghui Fan, Ningbo, CN;

Inventors:

Jiaming He, Ningbo, CN;

Jianfen Wen, Ningbo, CN;

Dexiang Jia, Ningbo, CN;

Jing Chen, Ningbo, CN;

Ping Chen, Ningbo, CN;

Chengchen Ma, Ningbo, CN;

Zhouyi Fan, Ningbo, CN;

Hongzhen Ding, Ningbo, CN;

Zhihui Shi, Ningbo, CN;

Aijun Shi, Ningbo, CN;

Linghui Fan, Ningbo, CN;

Assignee:

Ningbo Sunrun Elec. & Info. St & D Co., Ltd., Ningbo, Zhejiang Province, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/18 (2006.01); G06K 9/34 (2006.01); G06K 9/48 (2006.01); G06K 7/10 (2006.01); G06K 9/20 (2006.01); G09G 1/10 (2006.01);
U.S. Cl.
CPC ...
Abstract

The present invention discloses an on-line identifying method of hand-written Arabic letter. The advantage of the present invention is that the multilayer coarse classification algorithm based on the local characteristic of Arabic letter fully utilize the various local characteristics of Arabic letter, obtain the first candidate letter aggregation matching with the inputted hand-written Arabic letter according to the first level coarse classification formed by the stroke number of letter, and then obtain the second candidate letter aggregation matching with inputted hand-written Arabic letter according to the other local characteristics and the first candidate letter aggregation. The application of the algorithm enables that the inputted hand-written Arabic letter only need to match with the standard letter stored in the predetermined letter library and the corresponding standard letters of the second candidate letter aggregation.


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