摘要
车牌字符识别是智能交通系统的核心内容。对车牌字符识别的两种重要方法,即模板匹配法和神经网络法进行研究,并在Matlab平台上实现两种算法,得到了真实有效的仿真结果。最后比较两种方法的优缺点,得出一些有意义的结论。
Character recognition in license plate is a core component of the intelligent transportation system. I his paper smalea on the two character recognition methods, i.e., template matching method （TMM） and neural network method （NNM）, and then per-formed them in Matlab platform. The simulation results showed the efficiency of TMM and NNM. Finally, some constructive con-clusions are presented by comparing the advantages and disadvantages of TMM and NNM.
出处
《微型电脑应用》
2013年第9期6-8,共3页
Microcomputer Applications
基金
中央高校基金(No.2011B09514)
重庆市自然科学基金(No.CSTC
2008BB2313)
华为合作项目(No.BON2008031)
关键词
字符识别
模板匹配
神经网络
Character Recognition
Template Matching
Neural Network.
