%0 Journal Article
%T Chinese Font Recognition Based on Feature Point<br>基于特征点的汉字字体识别研究
%A Wang Kai
%A Jin Jian-ming
%A Shi Guang-shun
%A Wang Qing-ren
%A <br>王 恺
%A 靳简明
%A 史广顺
%A 王庆人
%J 电子与信息学报
%D 2008
%I 
%X 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.
%K Font recognition
%K Optical character recognition (OCR)
%K Feature point<br>字体识别
%K 光学字符识别
%K 特征点
%K 基于特征点
%K 汉字字体
%K 字体识别
%K 研究
%K Feature
%K Point
%K Based
%K Recognition
%K Font
%K 性能
%K 印刷体汉字
%K 有效解决
%K 结果
%K 实验
%K 情况
%K 混排
%K 多语
%K 速度
%K 处理
%K 可信度
%K 方法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=C49CA7C04443CB4CA7C8CF3DCFCC03E6&yid=67289AFF6305E306&vid=340AC2BF8E7AB4FD&iid=0B39A22176CE99FB&sid=4E6F5C60B72D9B1C&eid=44A4891E33BFF455&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=19