Research on Offline Handwritten Chinese Characters RecognitionBased on Biomimetic Recognition
WANG JianPing1, LI WeiTao1,2,3, WANG JinLing4, WANG XiHui1, CHENG Yu1
1.School of Electric Engineering and Automation, Hefei University of Technology, Hefei 2300092. Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern University, Shenyang 1100043. Research Center of Automation, Northeastern University, Shenyang 1100044. School of Computer and Information, Hefei University of Technology, Hefei 230009
Abstract：In this paper, biomimetic pattern recognition is employed to construct double weighted elliptical neuron sequence which is used to extract basic stroke segments to cover the handwritten Chinese character image. The topological property of the stroke segment neurons is analyzed. An image of handwritten Chinese characters is transformed into geometric figures composed by six styles of Chinese character strokes with fault tolerance. To imitate typing methods of human Chinese characters font code, the style, the number, the position, the number of joint and the crossover of stroke neurons with redundant fault tolerant shapes are counted. Data structures of characteristic knowledge of handwritten Chinese characters are built. Handwritten Chinese characters from SCUTIRAC HCCLIB are tested and the results confirm the proposed method has the ability of cognizing handwritten Chinese characters.
王建平，李帷韬，王金玲，王熹徽，程羽. 一种基于仿生识别的脱机手写体汉字识别方法[J]. 模式识别与人工智能, 2008, 21(1): 62-71.
WANG JianPing, LI WeiTao, WANG JinLing, WANG XiHui, CHENG Yu. Research on Offline Handwritten Chinese Characters RecognitionBased on Biomimetic Recognition. , 2008, 21(1): 62-71.
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2008, Vol. 21 
