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《Pattern Recognition and Artificial Intelligence》 2001-03
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HANDWRITTEN CHINESE CHARACTER RECOGNITION BASED ON FUZZY DIRECTION FEATURE

Wang Zhengqun, Ye Hui, Sun Xinghua, Yang Jingyu (Department of Computer Science, Nanjing University of Science & Technology, Nanjing 210094)  
Direction feature is widely used in handwritten Chinese character recognition. In this paper we propose a fuzzy direction feature based on fuzzy mathematics. The procedure of extracting fuzzy direction feature includes: (1) defining fuzzy mesh, (2) extracting the attribution feature of boundary points related to the four fuzzy directions-horizontal, vertical, left diagonal, and right diagonal, ( 3) combining fuzzy mesh with fuzzy direction attribution feature of boundary points to obtain the fuzzy direction feature of a Chinese character. Using fuzzy direction feature, we implemented an off-line recognition system for unconstrained handwritten Chinese characters. Experiments on a testing set containing 7600 Chinese charactes (19 classes) show that the fuzzy direction feature proposed in this paper is effective for handwritten Chinese character recognition.
【CateGory Index】: TP391.4
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