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A Study of Chinese Characters Code of Bearable Mistakes Method for Off-line Handwritten Chinese Characters Recognition
一种脱机手写体汉字识别的容错编码方法研究

Keywords: off-line handwritten Chinese characters recognition,bearable mistakes code,elements groups,stroke sequence,subsidiary configurations
脱机手写体汉字识别
,容错编码,字元集,笔划顺序,子结构

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Abstract:

Handwritten Chinese characters recognition is the difficulty of character recognition.Based on the mechanism of apery imitation,a kind of Chinese characters codes for computer cognition is presented in this paper to apply to the deformation factors of handwritten Chinese characters and to improve the recognition rate of Chinese characters.The configurations of horizontal stroke,upright stroke,left-falling stroke and right-falling stroke are defined in a fuzzy way.Elements groups of Chinese characters are made for machine cognition.Bearable mistakes codes of various categories are given to the elements which are easily confused.Rules for judging stroke sequence are given.36 kinds of subsidiary configurations codes and bearable mistakes codes are constructed.The code principles and multi-template dictionary of Chinese characters which agree with apery imitation are established.10 000 Chinese characters in Xin Hua Dictionary are standardized coded,the rate of repeated codes of which is 0.48%.After testing the recognition on 100 handwritten Chinese characters in the handwritten Chinese character library of HCCORG and NKIM,the recognition rate is 96%.Emulational experimental results show that this kind of coding applies to the deformation of handwritten Chinese characters well and the rates of repeated codes and wrong codes are low.

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