摘要
在智能交通等领域,各种车辆牌照识别系统已逐步得到应用。但对单个对象(车牌)的识别还存在一些不足,其主要原因是不符合人类认知的规律。文章认为多个对象的结合识别是将来模式识别发展的一个方向,文章对车牌和人脸的识别进行了一些探索。
In the domains of intelligence traffic, various vehicle number plate systems have been used step by step. But the recognition of the single object is stiLL far from perfect. The main reason is that it does not accord with the people＇s apperception rule. This paper holds the opinion that the recognition of the combination of the multl-objects is the right way to the pattern recognition in the future. The paper makes some researches on the recognition of the vehicle license plates and human faces.
出处
《交通与计算机》
2005年第4期21-24,共4页
Computer and Communications
基金
广东省自然科学基金项目资助(批准号:36552)
关键词
车牌识别
人脸识别
BP网络
隐马尔科夫模型
vehicle number plate recognition
human face recognition
back propagation neural network
Hidden Markov Model
