车牌识别系统的设计

车牌识别系统的设计(论文11000字,参考代码)
摘要：车牌识别系统是一种以数字图象处理技术、模式识别等为基础的一项技术，近几年来在智能交通方面有着非常广泛运用。由于汽车牌照是汽车的唯一标识，因此对于汽车牌照的识别可以有效地帮助人们进行车辆的智能化管理。车牌识别系统可以实时对行进中的汽车进行车牌图像拍摄，并进行有效的车牌提取、识别工作，实现交通智能管理的需求。
本文通过对现有的车牌识别系统进行了分析与研究，设计出一套基于MATLAB的车牌识别系统。实现了将一张导入到计算机中的车牌图片先后进行图像预处理，包括:灰度化、边缘检测、腐蚀与膨胀，车牌定位，字符切割，最后将分割出来的字符与数据库中的字符进行模板匹配，最终识别这张图片中汽车车牌号码的功能。
关键词：车牌识别；MATLAB；图像预处理；字符分割；字符识别

The Design of Vehicle License Plate Recognition System
Abstract：The vehicle license plate recognition system is a kind of technology whichiswidely applied in intelligent transportation in recent years. This kind of system takesdigital image processing, pattern recognition and so on as its theoretical basis.Becauselicense plate is the sole identification of vehicle, the vehicle license plate recognition systemcan effectively help people achieve the goal of the intelligent management of the vehicle.Vehiclelicense plate recognition system can take a picture of moving vehicleincluding its license plate immediately,and then carry out effective license plate acquisition and recognition which meet the needs of intelligent transportation.
This paper, based on the researches and analyses of existing techniques of vehiclelicense plate recognition system, presents the design ofa set of vehiclelicense plate recognition system based on MATLAB. This kind of system implements such a function which can do image preprocessing which is a combination of gray processing, edge detection, erosion and dilationto a pictureimported into the computer which including license plates.It also has the functions of vehicle license plate location, character segmentation.In the end it matches the separate characters withthosestandard character templateswhich are stored in the database in advance.
Key words：license plate recognition; MATLAB; image preprocessing;Character segmentation; character recognition
 

目录
1  前言    1
1.1    选题的目的和意义    1
1.2    国内外研究现状与发展空间    1
1.3    研究内容    2
2  车牌识别系统设计原理概述    3
3  车牌识别系统程序设计    4
3.1  图像预处理    4
3.1.1  图像灰度化    4
3.1.2  图像边缘检测    6
3.2  车牌定位    8
3.2.1  图像腐蚀与膨胀    8
3.2.2  移除小面积对象    9
3.2.3  车牌区域切割    10
3.3  角度调整    11
3.4  字符分割    13
3.4.1  图像二值化    13
3.4.2  字符分割    13
3.5  字符识别    15
3.5.1  字符归一化    15
3.5.2  字符模版匹配识别    15
4    仿真结果与分析    16
5    总结与体悟    17
参考文献：    18
致谢    19
附录：    20