matlab的车牌识别系统研究与实现+源代码

摘要：    智能交通系统（ Intelligent Transportation Systems，简称 ITS）随着中国促进交通的可持续发展,已成为越来越重要,作为它的一个重要组成部分，车辆牌照识别系（vehicle license plate recognition system，简称 LPR）对于交通管理的智能化起着十分重要的作用。这个任务是实现通过的车牌图像的采集，图像的预处理，车牌定位，字符分割，字符识别五个核心部分。本文主要介绍了图像的预处理，车牌定位，字符分割方法这三个功能的实现。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。之后的第一个字符分割的二值化处理完成，然后分角色垂直扫描投影。最后的字符识别方法的字母和数字的模板提取车牌识别，车牌号码是文本的形式给出。21629
毕业论文关键词：    图像预处理；车牌定位；字符分割；字符识别
Research and Realization of License Plate Recognition System Based matlab
Abstract:     Intelligent Transportation Systems (ITS) with the continuous development of China's promotion of transport, becomes more and more important, and as an important part of ITS, vehicle license plate recognition system (LPR) for intellectualized traffic management plays a very important role.The task is to achieve through matlab license plate image acquisition, image preprocessing, license plate location, character segmentation, five core part of character recognition.This paper describes the image preprocessing, license plate location, character segmentation method of three modules.Image preprocessing part adopts gray image and the plate with Roberts operator edge detection.Plate positioning and segmentation using mathematical morphology is used to determine the license plate location method, and then use color segmentation method of color information to complete the license plate parts pision.After the first character segmentation binarization processing is completed and then the pided character vertical scan projection.Final character recognition methods to extract license plate recognition by the template of letters and numbers, license plate numbers are given in text form.

Keywords:    Image preprocessing; license plate location; character segmentation; Character Recognition
目录
摘要    i
Abstract    ii
目录    iii
1 绪论    1
1.1 课题研究的背景和意义    1
1.1.1 课题研究的背景    1
1.1.2 课题研究的意义    2
1.2 车牌识别技术的国内外研究现状    2
1.3 MATLAB 简介    3
1.3.1 MATLAB 发展历史    3
1.3.2 MATLAB 的语言特点    4
1.3.3 软件优势    5
2 分析    7
2.1 车牌特征的信息分析    7
2.1.1 常见车牌颜色特征的信息    8
2.1.2 车牌特征分析结论    9
3 设计    10
3.1 系统设计的目标    10
3.2 系统总体结构设计    10
3.2.1 车牌系统的总体设计    10
3.2.2 车牌系统的组成原理设计    11
3.3 功能设计    11
3.3.1 图像预处理    11
3.3.2 车牌的定位和分割    15
3.3.3 字符的分割与归一化    19
3.3.4 字符的识别    21
4 结论    23
致谢    28
参考文献    29
附录    30 matlab的车牌识别系统研究与实现+源代码:http://www.youerw.com/zidonghua/lunwen_13923.html