基于MATLAB的车牌识别系统毕业论文 焦作大学.docVIP

摘 要 汽车车牌的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，有效的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。本文的图像预处理模块是将图像灰度化和用Roberts算子进行边缘检测的步骤。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。本文即是针对其核心部分进行阐述并使用MATLAB软件环境中进行字符分割的仿真实验。 关键词：MATLAB、图像预处理、车牌定位、字符分割 ABSTRACT Vehicle license plate recognition system is one 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. Keywords: MATLAB software, image preprocessing, license plate localization, character segmentation .  目 录 1. 绪论 1 1.1 本课题的研究背景 1 1.2 本课题的研究目的及意义 2 1.3 国内外发展状况 3 1.4 主要应用领域 5 1.5 设计原理 6 2. MATLAB简介 7 2.1 MATLAB发展历史 7 2.2 MATLAB的语言特点 7 3．工作流程 9 3.1 系统框架结构和工作流程 9 4．各模块的实现 11 4.1设计方案 11 4.2图像预处理 11 4.2.1图像灰度化 11 4.2.2图像的边缘检测 12 4.3车牌定位和分割 14 4.3.1车牌的定位 15 4.3.2车牌的分割