基于单片机的车牌识别系统设计与实现.doc

基于单片机的车牌识别系统设计与实现?目 录摘 要 2二、选题 4三、系统主要特点 5四、系统方案、实现原理 6 4.1 图像采集及存储格式 8 4.2 图像的灰度化 8 4.3 图像的二值化 9 4.4 车牌的去边框 9 4.5 图像的梯度锐化 10 4.6 字符分割算法 11 4.7 字符的归一化 12 4.8 字符特征提取13 4.9 字符识别算法 15 4.9.1 BP 神经网络法 15 4.9.2 模板匹配法17五、操作说明与硬件框图 18六、实验程序 19七、数据统计分析 66八、结果分析 66九、实验心得 66十、参考文献 69 摘 要 伴随着世界各国汽车数量急剧增加，城市交通状况日益引起人们的重视，如何有效地进行交通管理，已成为越来越多人关注的焦点，解决这些问题的关键就是建立智能交通系统。车牌识别是智能交通系统的重要组成部分，它在交通控制与监视中有着多种用途，目前已广泛应用于各种领域。 本文将 TMS320C54XX 作为核心器件用于车牌自动识别系统中，完成车牌图像的采集、数字图像的处理、提取车牌信息并针对提取的特征对字符进行识别。首先分析了车牌识别系统实现的背景以及其实现意义。然后对实现车牌识别的硬件环境作简要介绍。接着对车牌识别过程中所涉及的边缘检测、字符分割、大小归一化等一系列数字图象处理技术进行进一步的详细分析。之后，对几种字符特征提取算法进行了对比分析，最后选取最适合的网格特征提取法，以此为基础进行模扳匹配，最终识别出车牌号码。关键词：车牌提取；图象处理；车牌识别；单片机；模扳匹配 2 Abstract With the increment of vehicle all over the world the situation of citytraffic has attracted the attention of people. How to control the trafficeffectively has become the problem which more and more people payclose attention to. The way to solve this problem is to establish theITS—Intelligent Transportation System .Vehicle license plate recognitionsystem is the crucial part of the ITS. It is widely used in vehiclemonitoring and traffic control. This experiment attempts to use the new generation DSP—DigitalSignal Processor to implement the recognition task. The DSP chipTMS320C54XX is used to process the picture of the vehicle distillinformation of the license plate and recognize the vehicle license plate.The first part of the thesis is about the background and meaning of thevehicle license plate recognition system. Consequently we analyze theenvironment of the experiment. In the next part we analysis thefundamental theory and technique of the image processing including thecollection of picture of vehicle distill of the license plate segmentationalgorithm of character. Then we put forward several methods to distill thefeature of the characters. On the basis of the above-mentioned researchwe make the template matching and recognize the characters.Keywords: Vehicle License Plate Location Image Processing Char