基于Matab牌图像识别的研究设计书与实现研究设计书思考.docVIP

基于MATLAB车牌图像识别的设计与实现 摘 要 车牌图像识别系统是现代智能交通管理的重要组成部分之一。车牌识别系统使车辆管理更智能化，数字化，有效提升了交通管理的方便性和有效性。 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、字符识别等五大核心部分。本文主要介绍图像预处理、车牌定位、字符分割三个模块的实现方法。其中图像预处理模块是将图像灰度化和用Roberts算子进行边缘检测。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，再利用车牌彩色信息的彩色分割法来完成车牌部位分割。字符的分割采用的方法是以二值化后的车牌部分进行垂直投影，然后在对垂直投影进行扫描，从而完成字符的分割。最后使用MATLAB软件环境进行字符分割的仿真实验，结果表明该方法具有良好的性能。 关键词：图像处理，车牌定位，字符分割 The Design and Implementation of License Plate Image Recognition Based on MATLAB ABSTRACT License plate image recognition is an important of the modern intelligent traffic management. License plate recognition system to make more intelligent vehicle management, digital, Effective traffic management to enhance the convenience and effectiveness. License plate recognition system includes image acquisition, image preprocessing, license plate localization, character segmentation, character recognition and other five core parts. In this paper, preprocessing, license plate localization, character segmentation method for the realization of three modules. This is the image preprocessing module and the use of the image grayscale Roberts edge detection operator steps. License plate location and segmentation using mathematical morphology method is used to determine the license plate location，Re-use license plate color segmentation method of color information to complete the license plate area segmentation. Character segmentation approach is based on the license plate after the binary part of the vertical projection, Then scan in the vertical projection, thus completing the character segmentation. This article is described for the core part and use the MATLAB software environment, the simulation experiments for character segmentation. Key words: plate recognition, location, character segmentation 目 录 摘要 I ABSTRACT II 1 绪论 1 1.1 车牌图像识别研究的背景 1 1.2 研究车牌图像识别的目的和意义 2 1.3 车牌号识别技术研究现状和趋势 3 1.3.1 国内外车牌图像识别研究现状 3 1.3.2 我国车牌特点 3 1.3.3 车牌图像识别技术的应用前景 4 1.3.4 车牌图像识别技术的发展趋势 5 1.4?车牌图像识别研究内容 5 2??车牌识别系统设计原理概述 7 2.1 车牌在图像中的位置提取 7 2.2 字