摘要
其它欧洲文字识别系统与英文OCR系统的主要差异在于字符集。因此,在当前英文OCR系统已经非常成熟的情况下,欧洲文字识别系统构造的关键在于欧洲文字识别。本文将欧洲文字的字符集分为两部分:英文字符和特殊字符。如何避免英文字符和特殊字符之间的混识以及如何提高特殊字符的识别率是本文的主要贡献。实验结果表明,本文提出的解决方案是行之有效的,系统识别率明显高于以往的欧洲文字识别系统。另外,本文提出的一些思想可以推广到任何相似符号的区分上。
The main difference between English OCR system and other European OCR systems is character set . Therefore , European OCR system construction mainly depends on European character recognition . European character set is divided into two parts in this paper : English characters and special characters. Two key problems are considered, i.e. how to decrease the misclassification rate between English characters and special characters, and how to improve the recognition accuracy for special characters. Experimental result shows that the new system is more effective than the previous ones . Furthermore , the ideas proposed in this paper can be generalized to distinguish any similar symbols.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2006年第4期491-496,共6页
Pattern Recognition and Artificial Intelligence
关键词
人工智能
文档图像处理
光学字符识别
Artificial Intelligence, Document Image Processing, Optical Character Recognition