摘要
本文在对字符进行各种预处理,包括倾斜校正,归一化,分割的基础上,依据字符的高度,宽度范围,提出了一种基于多模板匹配的字符识别方法,并将该算法运用于仿宋_GB2312字体,识别率达到98%以上,有效的提高了识别正确率,简单易实现。
This paper first do pretreatment such as skew correction, normalization, segmentation of characters, etc. Then it presented a new muff-template matching method according to the range of the character＇s width and height. At last, the experiment used in the FangSong_GB2312 font show that this method can improve recognition accuracy and is easy to put into practice.
出处
《微计算机信息》
2009年第9期258-259,305,共3页
Control & Automation
关键词
倾斜校正
字符分割
多模板匹配
skew correction
character segmentation
multi-template matching
