车牌识别系统（License Plate Recognition System，LPRS）在许多应用程序中
扮演一个重要的角色，如停车场系统、道路监控、高速公路收费系统、电子警察系
统。在我国，车牌种类较多，并有数字、字母和汉字，与别的国家的车牌相比较为
复杂。课题中提出了基于人工神经网络（ANN）的车牌自动识别系统。车牌识别
系统包括三个主要组件：车牌定位、字符分割和字符识别。(License plate recognition system plays an important role in many applications, such
as parking system, road monitoring, highway toll collection system, electronic police
system. In our country, there are many kinds of license plate, and it has numbers, letters and Chinese characters. In this paper, an automatic license plate recognition system based on artificial neural network is proposed. The license plate recognition system consists of three main components: license plate location, character segmentation and character recognition.)