A new stroke-based directional feature extraction approach for handwritten Chinese character recognition

2002 ◽  
Author(s):  
Xue Gao ◽  
Lian-Wen Jin ◽  
Jun-Xun Yin ◽  
Jian-Cheng Huang
Keyword(s):  
Feature Extraction ◽  
Character Recognition ◽  
Chinese Character ◽  
Chinese Character Recognition ◽  
Handwritten Chinese Character Recognition

HANDWRITTEN CHINESE CHARACTER RECOGNITION WITH DIRECTIONAL DECOMPOSITION CELLULAR FEATURES

1998 ◽  
Vol 08 (04) ◽  
pp. 517-524 ◽  
Author(s):  
LIANWEN JIN ◽  
GANG WEI
Keyword(s):  
Feature Extraction ◽  
Character Recognition ◽  
Minimum Distance ◽  
Chinese Character ◽  
Recognition Rate ◽  
Decomposition Methods ◽  
Chinese Character Recognition ◽  
Handwritten Chinese Character Recognition ◽  
New Feature ◽  
Directional Decomposition

A new feature extraction approach based on elastic meshing and directional decomposition techniques for handwritten Chinese character recognition (HCCR) is proposed in this letter. It is found that decomposing a Chinese character into horizontal, vertical stroke, left slant and right slant directional sub-patterns is very helpful for feature extraction and recognition. Three kinds of decomposition methods are proposed. A minimum distance classifier is trained by 3755 categories of characters using the new features. Testing on a total of 37,550 untrained handwritten samples produces the recognition rate of 92.36%, showing the effectiveness of the proposed approach.

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