On-line hand-written Chinese characters recognition method based on statistic structural features
Title：
On-line hand-written Chinese characters recognition method based on statistic structural features
Application Number：
 200510011510
Application Date：
 2005/04/01
Announcement Date：
 2005/09/07
Pub. Date：
 2007/08/22
Publication Number：
 1664846
Announcement Number：
 1333366
Grant Date：
 2007-8-22
Granted Pub. Date：
 2007-8-22
ApplicationType：
 Invention
State/Country：
 11[China|beijing]
IPC：
 G06K 9/00
Applicant(s)：
 Tsinghua University
Inventor(s)：
 Ding Xiaoqing, Lu Zhan, Liu Zhangsong, Chen Yan, Peng Liangrui, Fang Chi
Key Words：
 statistic structural features, on-line, hand-written, Chinese characters, recognition method
Abstract：
 This invention relates to an on-line hand-written character identifying method based on statistic structure feature, belonging to character identifying technology realm. The method is characterized by the following courses: first, pre-processing character object to eliminate noise interruption and part of writing distortion, and mapping the character space to a fixed-size position; then extracting statistic structure feature including direction and margin feature capable of reflecting on-line hand-written character feature, and compressing-switching original feature into identifying feature by means of linear discriminating analytical method; at last, adopting modified Coarse twice-sorter model to finish exercise and identification with a pre-set constant instead of smaller characteristic value to eliminate negative effect of its inexact evaluation. The average identifying rate reaches to 98.3%.
Claim：
Priority：
PCT：
LegalStatus：

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2008-4-17
  Selected patents owned by Tsinghua University filed in 2005 are loaded.
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  Selected patents owned by Tsinghua University filed in 2006 and 2007 are load.







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