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中文摘要：
车牌自动识别系统分为图像预处理、车牌定位、字符分割、字符识别4步。车牌准确定位是LPR系统中的关键，本文利用形态学变换对图像进行滤波聚类，HOUGH变换方法对车牌图像进行水平校正，基于RBF网络的方法识别字符。在DELPHI7．0环境下设计开发的车牌自动识别系统，经检验取得满意的效果。
英文摘要：
The LPR （License Plate Recognition） system consists of four steps： image processing methods, license plate locating, character segmentation and character identification. License plate locating is an important step in a LPR system. This paper presents a method of locating and adjusting license plates, which combines the morphological method of image processing and the method of Hough transform. A character recognition algorithm based on RBF neural network is presented. The experiments proved that algorithm is fast and accurate. At last, a system of vehicle license identification system based on Delphi 7.0 was designed. The experimental results show the good performance of the LPR system.
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