基于笔端形状相似性的汉字字体识别  

Optical Font Recognition of Chinese Based on the Stroke Tip Similarity

作　　者：王晓[1,2] 吕肖庆[1,2] 汤帜[1,2] 

机构地区：[1]北京大学计算机科学技术研究所,北京100871 [2]数字出版技术国家重点实验室(北大方正集团有限公司),北京100080

出　　处：《北京大学学报（自然科学版）》2013年第1期54-60,共7页Acta Scientiarum Naturalium Universitatis Pekinensis

基　　金：国家重点基础研究发展计划(2010CB735908)资助

摘　　要：提出一种基于笔端相似性的方法,来解决在较大规模字体集上的单字符字体识别问题。该方法首先提取汉字笔画上的特定部位——笔端,然后利用笔端形状作为汉字的字体特征,对其进行识别。实验证明,该方法不但在常用字体集合上的识别效果优于同类方法,而且在扩展后的大字体集合上也能达到较高的识别率。The authors present a novel method for the OFR of single Chinese character on a large font set. This method explores the specific parts of strokes of each character, called Stroke Tips, which is regarded as a good feature for font recognition. Experiments show that the recognition rate on common font sets is superior than that of other methods. Furthermore, experiments on an extended font set confirm the scalability of the proposed method, which means that this method is suitable for the OFR of single Chinese character on a large font set.

关 键 词：字体识别 形状相似性度量 形状描述子 笔端 特征笔端 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]