华中科技大学学报（自然科学版）2001，Vol.29Issue(3)：48-50,3.
一种模板匹配和神经网络的车牌字符识别方法
A Method of Characters in Vehicle Number-plate Using Pattern Match and Neural Networks
摘要
Abstract
A method of characters in vehicle number-plate using pattern match and neural networks is presented. This method integrates the advantages of pattern match and neural networks recognizing characters in vehicle number-plate. It can be used to solve at the same time the problem that only pattern match or neural network is difficult to recognize the characters. The recognition rate can be improved with the recognition time reduced and the adaptable ability of recognition method increased. The experimental results show that, for a vehicle number-plate, recognition rate of characters is more than 90% and the recognition time of characters is less than 1.2 second by using this method. It is obvious that this method is of more effective recognition ability than other methods.关键词
车牌字符识别/模板匹配/神经网络/集成分类
信息技术与安全科学引用本文复制引用
王敏,黄心汉,魏武,李炜..一种模板匹配和神经网络的车牌字符识别方法[J].华中科技大学学报（自然科学版）,2001,29(3):48-50,3.基金项目
湖北省重点科学技术发展计划项目 (991PO111)；武汉市重点科技攻关计划资助项目 (20001010094). （991PO111）
