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《Journal of Electronics & Information Technology》 2008-02
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Chinese Font Recognition Based on Feature Point

Wang Kai① Jin Jian-ming② Shi Guang-shun① Wang Qing-ren① ①(Institute of Machine Intelligence, Nankai University, Tianjin 300071, China) ②(NEC Laboratories, Beijing 100084, China)  
Global analysis method and individual analysis method are proposed in this paper. By analyzing their traits, it is concluded that individual analysis method is more suitable for machine-printed Chinese font recognition. A feature point based individual analysis method is proposed to resolve Chinese font recognition problem. Compared with previous methods, there are mainly three advantages: The recognition reliability is controllable; the processing speed is fast; it is suitable for multi-lingual document image processing. Experimental results show that the proposed method is more effective than previous methods.
【CateGory Index】: TP391.43
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