学术
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。[著者文摘]
文章出处:
《电子与信息学报》-2008年30卷2期 -272-276页
栏目信息:
分 类 号:
文献标识码:
A
文章编号:
1009-5896（2008）02-0272-05
Chinese Font Recognition Based on Feature Point
Wang Kai, Jin Jian-ming,Shi Guang-shun, Wang Qing-ren（1.Institute of Machine Intelligence, Nankai University, Tianjin 300071, China） ;2.NEC Laboratories, Beijing 100084, China）
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.[著者文摘]
Key words:
Font recognition; Optical character recognition （OCR）; Feature point
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