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Chinese Font Recognition Based on Feature Point |
Wang Kai①;Jin Jian-ming②; Shi Guang-shun①; Wang Qing-ren① |
①Institute of Machine Intelligence, Nankai University, Tianjin 300071, China;
②NEC Laboratories, Beijing 100084, China |
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Abstract 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.
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Received: 31 July 2006
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