摘要
在开发在线轮胎编码图像自动识别系统时,通过对现有常用的几种识别算法分析与研究,提出了两种改进的标准模板匹配识别算法,分别是基于特征加权的模板匹配算法和基于特征块的模板匹配算法,两种改进的算法都以抽取字符特征为基础,结合模糊原理进行识别,经过理论分析与实际测试,两种改进的识别算法都进一步提高了图像字符的识别率。
When online tyre codes automatic recognition system is designed, several common recognition algorithms are studied firstly. Then two improved template matching algorithms are. One is based on feature weight, the other one is based on feature block. Both two algorithms extract character feature and use fuzzy theory in the course of recognition. Theoretical analysis and actual tests show that the ratio of recognition is improved.
出处
《计算机工程与设计》
CSCD
北大核心
2006年第6期1083-1085,共3页
Computer Engineering and Design
关键词
模式识别
模板匹配
特征加权
特征块
模糊理论
pattern recognition
template matching
feature weight
feature block
fuzzy theory
