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Volume 30 Issue 2
Jan.  2011
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Wang Kai, Jin Jian-ming, Shi Guang-shun, Wang Qing-ren. Chinese Font Recognition Based on Feature Point[J]. Journal of Electronics & Information Technology, 2008, 30(2): 272-276. doi: 10.3724/SP.J.1146.2006.01129
Citation: Wang Kai, Jin Jian-ming, Shi Guang-shun, Wang Qing-ren. Chinese Font Recognition Based on Feature Point[J]. Journal of Electronics & Information Technology, 2008, 30(2): 272-276. doi: 10.3724/SP.J.1146.2006.01129

Chinese Font Recognition Based on Feature Point

doi: 10.3724/SP.J.1146.2006.01129
  • Received Date: 2006-07-31
  • Rev Recd Date: 2007-05-07
  • Publish Date: 2008-02-19
  • 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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