说明：  国内近几年城市智能交通系统发展的很快，车牌识别系统作为 城市智能交通系统中信息采集的一种手段，也得到了很快的发展。 本文在详细研究了国内外的各种有代表性的车牌识别系统的基础上，结合 中国车牌的特点研发了一种适合中国车牌的识别系统。该技术于2004年荣获得 了公安部科技进步二等奖。 本文对车牌识别技术的研究，主要的创新有四个方面： 1基于小波分析的方法,成功地解决了车牌定位系统中传统的图像识别手段 很难解决的三个问题； 2本文对图像获取的摄像系统自适应控制技术进行了研究，创造性的提出了 行驶车辆图像获取的摄像机自适应控制系统(Acquring Image Adaptive Control System,AIACS),很好的解决了车牌识别系统的全天候的问题； 3本文将车牌识别技术应用于车辆测速系统，在完成车牌识别的同时,解决 了测速问题,该技术目前处于国内领先水平,将车牌识别用于测速系统在国内是 首创； 4本文还对车牌识别的定位、切分、识别进行了详细的研究，并分别提出了 几种实用的新算法。
(ITS(intelligent transportation systems)is progressing rapidly in recent years in China.At the same time,as the information collection method for ITS,the vehicle plate recognition technology has also developed very fast. Based on the detail analysis for the typical vehicle plate recognition systems(VPRS),the peculiar VPRS presented suitable used in China,concerning the charactristics of Chinese vehicle plate.The technology of vehicle plate recognition has won the Second Prize of Science and Technology Advancement of the Ministry of Public Security of P.R.China. The research presented here for VPRS is characteristic of the four creation points showing bellow: First,the problems which are of troubles really in the traditional image treatment technology have been successful solved in use of wavelet analysis. Second,the Acquring Image Adaptive Control System(AIACS)has been presented creatively to be adaptive in all weather conditions.Third,the vehicle plate recognition techn)