摘要
介绍了一个工业器件上字符识别和获取系统。在字符提取阶段,给出了两种字符的提取方法以及互补Ostu二值化方法。在识别阶段,对第一类字符利用TM矩和仿射不变矩提取特征并且组合成特征向量,然后利用交叉相关来识别;对第二类字符利用模板匹配法,基于Hu不变矩和TM矩的交叉相关分别得到各自的识别结果,然后采用投票原则来作出最后的判决。实验结果表明提出的方案是可行的和合理的。
Character extraction and character recognition in industrial containers are introduced. First, at the stage of character extraction, two approaches of character extraction and complementary Ostu method are proposed. Second, at the stage of recognition, for the first type of characters, TM moments and affine moment invariants are used to extract features respectively and the features are combined into a vector. Then the normalized cross correlation is utilized as the classification technique. For the second type of characters, template matching and cross correlation classifiers based on TM moments and Hu moments are used to recognize characters. To improve the performance of classifiers, voting principle is utilized to combine the results of three individual classifiers. Finally, a series of experiments are made and experimental results show that the proposed scheme is feasible and reasonable.
出处
《计算机工程》
EI
CAS
CSCD
北大核心
2005年第9期41-42,131,共3页
Computer Engineering
基金
国家自然科学基金资助项目(60075007)
关键词
字符提取
字符识别
矩
投票原则
Character extraction
Character recognition
Moments
Voting principle
