基于matlab车牌识别毕业论文

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1、 I 摘摘 要要 伴随着时代的发展，车辆的逐渐走进千家万户，车辆的管理日益困难，于是车 牌识别系统的应用得到了广泛发展。车牌识别系统主要包括了图像采集、图像预 处理、车牌定位、字符分割、字符识别五个核心部分。本文侧重于介绍图像预处 理、车牌定位、字符分割三个模块的实现。车牌识别系统使车辆管理更智能化， 数字化，有效的提升了交通管理的方便性和有效性。本文的图像预处理环节则采 用图像灰度化和用 Roberts 算子对车牌进行边缘检测。车牌定位和分割采用的是 利用数学形态法来确定车牌位置，然后利用车牌彩色信息的彩色分割法来完成车 牌部位分割。分割后的字符先进行二值化处理，再对垂直投影进行扫描后完成对

2、 字符的分割。本课题是基于 Matlab 下的环境下对其进行仿真。 关键词：图像预处理关键词：图像预处理 图像定位图像定位 图像分割图像分割 II ABSTRACT With the development of era, the car gradually into the homes, vehicles management is becoming more and more difficult, so the application of license plate recognition system has been widely developed. License plate r

3、ecognition system mainly includes image acquisition, image preprocessing, license plate location, character segmentation, character recognition five core part. This paper focuses on the image preprocessing, license plate location, character segmentation, the realization of the three modules. The veh

4、icle license plate recognition system management more intelligent, digital, can effectively enhance the convenience and effectiveness of traffic management. The image grayscale image preprocessing step, the use and license plate with Roberts operator edge detection. License plate location and segmen

5、tation is using mathematical morphology method is used to determine the license plate location, license plate color information of color segmentation method is then used to complete the license plate segmentation. After the character segmentation binarization processing first, and then to complete v

6、ertical projection after scanning to the segmentation of the characters. This topic is based on carry on the simulation under Matlab environment. Key Words：image preprocessing, license plate localization, character segmentation . III 目 录 第 1 章 绪论.1 1.1 本课题的研究背景 2 1.2 本课题研究的意义和目.2 1.3 本课题研究的内容2 第2章 本课题程序设计. .3 2.1 开发环境. 3 2.1.1 设计方案3 2.2 图像预处理.