北京大学学报（自然科学版）

基于笔端形状相似性的汉字字体识别

王晓1,2,吕肖庆1,2,汤帜1,2   

  1. 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;
  • 收稿日期:2012-06-03 出版日期:2013-01-20 发布日期:2013-01-20

Optical Font Recognition of Chinese Based on the Stroke Tip Similarity

WANG Xiao1,2, Lü Xiaoqing1,2, TANG Zhi1,2   

  1. 1. Institute of Computer Science and Technology of Peking University, Beijing 100871; 2. State Key Laboratory of Digital Publishing Technology Peking University Founder Group Co., Ltd, Beijing 100080;
  • Received:2012-06-03 Online:2013-01-20 Published:2013-01-20

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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。

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

Abstract: 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.

Key words: font recognition, similarity measure of shapes, shape descriptor, stroke tip, eigen stroke tip

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