摘要随着科学技术的迅速发展和日常生活质量的提高，汽车数量在国家总数中迅速增加。目前，中国的汽车数量已增加到120万辆，占世界汽车总量的12%，成为世界上第二个汽车国家。而且这个数字还在不断增加。当然，随着车辆数量的增加，道路的扩大和扩大，这些车辆的管理越来越受到关注，成为研究中非常重要的问题。该学科的主要研究任务依赖于车辆识别，即车牌识别。车牌识别的一般步骤主要由三部分组成：车牌位置，车牌标记分割和车牌识别。这三部分构成了识别车牌照的完整过程。对于有限的能量，本文仅分三步检查车牌和标记分割定位。本节中使用的定位方法通过特定算法的筛选过程扫描水平和垂直定位板标记，定位板标记和下板之间的色差特征，以确定定位板的位置车牌及其分离面基于功能执行。主要算法是通过使用Prewitt算子的边缘检测比较车牌边缘的信息来定位板的垂直方向并且，为了根据色差的特征去除关于干涉边缘的特定信息，根据车牌的格式，指定绑定域的组合边缘点。功能和采用AdaBoost方法强调定位板的图像，倾斜抗蚀剂板的校正图像，并继续去除干涉信息以去除上边界和下边界以及左边界和右边界以获得抗蚀剂板的正确区域。通过仿真分析，该算法可以很好地找到定位板的图像，可对单车牌图像和多车牌图像都适用，定位成功率高，灵活性好。第二部分是配准板的分割，在第一阶段，配准板的正确放置图像，即分析典型的标记分割方法，被分成单个字符。关键词：车牌定位多特征与多方法字符分割模板匹配Abstract:With the rapid development of science and technology and the improvement ofthe quality of daily life,the number of cars has increased rapidly in the total number ofcountries.At present,the number of cars in China has increased to 1.2 million,accounting for12%of the world's total car,becoming the second car country in the world.And this numberis still increasing.Of course,with the increase in the number of vehicles and the expansionand expansion of roads,the management of these vehicles has received increasing attentionand become a very important issue in research.The main research task of the discipline relieson vehicle identification,ie license plate recognition.The general steps of license platerecognition are mainly composed of three parts:license plate position,license plate marksegmentation and license plate recognition.These three parts constitute the complete processof identifying the license plate.For limited energy,this article only examines the license plateand marker segmentation in three steps.The positioning method used in this section scans thehorizontal and vertical positioning plate marks by a specific algorithm's screening process,and locates the color difference characteristics between the plate mark and the lower plate todetermine the position of the positioning plate and its separation surface based on functionexecution.The main algorithm is to locate the vertical direction of the board by comparing theinformation of the edge of the license plate using the edge detection of the Prewitt operatorand,in order to remove the specific information about the interference edge according to thefeature of the color difference,specify the combined edge point of the binding domainaccording to the format of the license plate..Function and use the AdaBoost method toemphasize the image of the positioning plate,tilt the corrected image of the resist plate,andcontinue to remove the interference information to remove the upper and lower boundariesand the left and right boundaries to obtain the correct area of the resist plate.Throughsimulation analysis,the algorithm can find the image of the positioning plate well,and it canbe applied to both the license plate image and the multi-license plate image.The positioningsuccess rate is high and the flexibility is good.The second part is the division of theregistration plate.In the first stage,the correct placement of the image of the registration plate,ie the analysis of the typical mark segmentation method,is divided into individual characters.Keywords:license plate location,multiple features and multiple methods,charactersegmentation,template matching目录1.1本文的背景及意义.31.2车牌识别的国内外研究动向.31.3国内车牌的特征5第二章几种车牌定位方法简析.72.1依据灰度图像的车牌定位…2.1.1依据边缘检测进行车牌定位82.1.2依据车牌纹理特点的定位方法102.1.3依据形态学定位方法…112.2依据彩色图像进行车牌定位…第三章基于多特征与多方法筛选的车牌定位，3.1本文车牌定位步骤.43.1.1预处理灰度化153.1.2使用小波变换滤波…3.1.3边缘检测凸显细节特征…3.2倾斜校正与边缘修整.…203.3本文定位算法分析…3.4本章小结122第四章基于MATLAB的车牌识别233.1 MATLAB简介233.2设计方案3.3图像的边缘检测…3,4车牌定位和分割…273.5字符的识别…29第五章总结与展望…325,1论文总结…325,2工作展望32致谢33参考文献.3435第一章绪论1.1本文的背景及意义随着科学技术的飞速发展和社会生活水平的不断提高，世界交通运输业的发展也取得了长足的发展。人们在车到达之前走路和骑马。旅行的时间是时间。汽