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.
王 恺; 靳简明; 史广顺; 王庆人. 基于特征点的汉字字体识别研究[J]. 电子与信息学报, 2008, 30(2): 272-276 .
Wang Kai①;Jin Jian-ming②; Shi Guang-shun①; Wang Qing-ren①. Chinese Font Recognition Based on Feature Point. , 2008, 30(2): 272-276 .
2008, Vol. 30 
