| 两种改进的模板匹配识别算法 |
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| 引用本文： | 崔政,李壮. 两种改进的模板匹配识别算法[J]. 计算机工程与设计, 2006, 27(6): 1083-1085 |
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| 作者姓名： | 崔政 李壮 |
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| 作者单位： | 河南工业大学,机电工程学院,河南,郑州,450052;河南工业大学,经济贸易学院,河南,郑州,450052 |
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| 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。
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| 关 键 词： | 模式识别 模板匹配 特征加权 特征块 模糊理论 |
| 文章编号： | 1000-7024（2006）06-1083-03 |
| 收稿时间： | 2005-01-12 |
| 修稿时间： | 2005-01-12 |
Two improved algorithms of template matching recognition |
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| CUI Zheng,LI Zhuang. Two improved algorithms of template matching recognition[J]. Computer Engineering and Design, 2006, 27(6): 1083-1085 |
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| Authors: | CUI Zheng LI Zhuang |
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| Affiliation: | 1. School of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou 450052, China; 2. School of Economics and Trade, Henan University of Technology, Zhengzhou 450052, China |
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| Abstract: | 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. |
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| Keywords: | pattern recognition template matching feature weight feature block fuzzy theory |
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