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摘 要
随着交通问题的日益严重，智能交通系统应运而生。汽车牌照自动识别系统是近几年发展起来的计算机视觉和模式识别技术在智能交通领域应用的重要研究课题之一。课题的目的是对摄像头获取的汽车图像进行预处理,确定车牌位置,提取车牌上的字符串，并对这些字符进行识别处理,用文本的形式显示出来。车牌自动识别技术在智能交通系统中具有重要的应用价值。
在车牌自动识别系统中，首先要将车牌从所获取的图像中分割出来，这是进行车牌字符识别的重要步骤，定位准确与否直接影响车牌识别率。本文在对各种车辆图像处理方法进行分析、比较的基础上,提出了车牌预处理、车牌粗定位和精定位的方法，并且取得了较好的定位结果。车牌定位采取的是边缘检测的频率分析法。从经过边缘提取后的车辆图像中提取车牌特征,进行分析处理,从而初步定出车牌的区域，再利用车牌的先验知识和分布特征对车牌区域二值化图像进行处理，从而得到车牌的精确区域。
关键字 : 汽车牌照， 车牌定位， 二值化， 边缘检测
Abstract
With the problems of traffic are more and more serious. Thus Intelligent Transport System (ITS) comes out. The subject of the automatic recognition of license plate is one of the most significant subjects that are improved from the connection of computer vision and pattern recognition. The image imputed to the computer is disposed and analyzed in order to localization the position and recognition the characters on the license plate express these characters in text string form. . The license plate recognition system (LPSR) has important application in ITS.
In LPSR, the first step is for locating the license plate in the captured image which is very important for character recognition. The recognition correction rate of license plate is governed by accurate degree of license plate location. In this paper, several of methods in image manipulation are compared and analyzed, then come out the resolutions for localization of the car plate. The experiences show that the good result has been got with these methods. The methods based on edge map and无忧论文 【http://www.uklunwen.com】 frequency analysis is used in the process of the localization of the license plate, that is to say , extracting the characteristics of the license plate in the car images after being checked up for the edge, and then analyzing and processing until the probably area of license plate is extracted.
Keywords: License plate; Location of the plate; Evaluation of binarization;
Edge map;
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