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.