基于特征点的汉字字体识别研究

王恺; 靳简明; 史广顺; 王庆人

doi:10.3724/SP.J.1146.2006.01129

基于特征点的汉字字体识别研究

doi: 10.3724/SP.J.1146.2006.01129

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出版历程
- 收稿日期: 2006-07-31
- 修回日期: 2007-05-07
- 刊出日期: 2008-02-19

Chinese Font Recognition Based on Feature Point

摘要

摘要: 该文提出了整体分析法和个体分析法的概念，并在分析它们各自适用范围的基础上，指出个体分析法更适合于解决印刷体汉字字体识别。在此基础上，提出一种基于特征点的个体分析法来解决汉字字体识别问题，与以往方法相比，该方法具有3个优点：识别可信度可控；处理速度快；适用于多语混排情况。实验结果表明，该方法有效解决了印刷体汉字字体识别问题，其性能大大优于以往方法。
- 字体识别; 光学字符识别; 特征点
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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