基于Matlab的车牌识别系统的研究与实现

论文总字数：28008字

目 录

1 绪论···················································1

1.1 研究项目目的与意义···················································1

1.2 国内外相关问题的研究现状············································2

1.3 本文研究内容························································3

1.4 章节安排·····························································3

2 LPRS的理论基础与车牌图像预处理························5

2.1 LPRS组成部分与理论基础··············································5

2.2 车牌图像预处理······················································6

2.2.1 图像灰度化 ···················································6

2.2.2 图像增强······················································7

2.2.3 图像二值化····················································8

2.2.4 图像滤波······················································9

3 车牌图像定位··········································10

3.1 汽车牌照几何特征介绍················································10

3.2 常用的车牌定位算法··················································10

3.3 基于边缘检测的车牌定位方法··········································11

3.4 车牌提取····························································14

4 车牌字符分割··········································16

4.1 车牌倾斜度校正······················································16

4.1.1 车牌倾斜方式·················································16

4.1.2 常用的车牌倾斜校正方法·······································16

4.1.3 Hough变换原理···············································17

4.1.4 Hough变换校正车牌的实现·····································17

4.2 车牌字符分割························································19

4.2.1 车牌边框去除·················································19

4.2.2 车牌字符的分割与归一化·······································19

5 车牌字符识别··········································22

5.1 车牌字符识别概述····················································22

5.2 车牌形态学处理······················································22

5.3 常用的车牌字符识别方法··············································23

5.4 系统运行结果与分析··················································25

6 总结与展望············································27

6.1 论文工作总结························································27

6.2 工作展望····························································27

参考文献·················································28

致谢·····················································29

基于Matlab的车牌识别系统的研究与实现

王坡

，China

Abstract: In the 21st century of rapid technological and economic development, human beings gradually towards a modern, intelligent, information age, along with the vehicle buying boom sweeping the world, the relationship between people and cars appears more closely.While crazy car ownership growth has created an unprecedented degree of comfort and convenience, it is followed by a myriad of problems and even disaster. Traffic congestion, traffic accidents and other traffic problems all the time troubled people.

Computer-led team advanced technology continues to change,striving to make contemporary urban transportation more modern and making the 21st century the emerging intelligent transportation system more humane and mature. License plate recognition system acts as the key link in ITS, there are broad prospects for its market.

Based on general characteristics of license plate, this article researched the design and working principle of license plate recognition system, and expounds the image preprocessing, license plate orientation, license plate character segmentation and recognition and other major operations, finishing each operation through Matlab. In this article, through analyzing and comparing various commonly used license plate locating method, the author finally take the positioning method based on edge detection, and then combined with the feature of car license plate size, specification and prior knowledge to accomplish license plate region extraction, segmentation and recognition.

In the end, this paper use the license plate recognition algorithm for implementing the design of the system, the experimental results show that the algorithm and the design is feasible.

Keywords: Intelligent transportation;License plate location;License plate recognition;Edge detection;Template recognition

1. 绪论

本章的内容具体包括项目目的与意义、国内外对相关领域的研究状况与总结、论文主要研究内容和章节安排四个部分。其中，项目目的与意义阐述了论文所研究的项目的实际价值，国内外对项目相关问题的研究现状概括性地说明了世界各国对研究项目的科研进度和成果，论文研究内容主要说明了论文研究项目需要付诸实践的研究工作，最后，论文的章节安排明确了组织架构即章节划分。

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