基于MATLAB的车辆牌照识别系统设计(论文11000字,外文翻译,程序代码)
摘要
近年来，人工智能技术在计算机性能迅猛提高的情况下又一次成为人们高度重视的领域。而在经济飞速发展、人民购买力提高、汽车数量急剧增加的情况下，汽车的自动化管理技术显得尤为重要，特别是汽车牌照识别技术。车辆牌照自动识别系统的产生与逐步完善对于优化交通现状和维持社会秩序具有十分重要的现实意义。
本文致力于设计一个较为快速准确的车辆牌照自动识别系统，该系统软件部分的编程依托于MATLAB平台，充分运用MATLAB强大的函数库和工具箱，将大部分精力运用于算法的研究和选取上。本文所采取的总体设计分为三个主要模块，包括车牌的定位和提取、车牌字符分割和车牌字符识别。车牌定位和提取模块采用的是彩色像素点统计的方法；车牌字符分割模块包括了图像的预处理、字符的分割；车牌字符识别模块采用的是最为典型的模板匹配算法，该方法需预先建立一个标准字符模板库，然后将分割后的字符与模板库进行匹配，寻找最佳字符，最后输出所需信息，该方法运行效率高，十分适合本文使用。
关键字：车辆牌照识别，灰度变换，二值化，Otsu算法，模板匹配
VEHICLE LICENSE PLATE RECOGNITION SYSTEM
BASED ON MATLAB
ABSTRACT
In recent years,with the rapid improvement of computer performance， artificial intelligence technology once again becomes a high priority areas. In the rapid economic development, the people's purchasing power to improve the rapid increase in the number of cars, the automotive automation management technology is particularly important, especially the vehicle license plate recognition technology. The generation and gradual improvement of vehicle license plate recognition system is of great practical significance to optimize the traffic situation and maintain social order.
This paper is devoted to the design of a more rapid and accurate vehicle license plate recognition system. The software part of the system is programmed according to the MATLAB platform, and makes full use of MATLAB's powerful library and toolbox to apply most of the energy to the research and selection of algorithms. The overall design of this paper is divided into three main modules, including the positioning and extraction of license plates, license plate character segmentation and license plate character recognition. The license plate characterization module includes the preprocessing of the image and the segmentation of the characters. The license plate character recognition module adopts the most typical template matching algorithm. The method needs to set up a template Standard character template library, and then split the characters and the template library to match, find the best characters, and finally output the required information, the method is running efficiently, very suitable for use in this article.
KEY WORDS：Vehicle license plate recognition, gray scale transformation, binarization, Otsu algorithm, template matching
目录
1 绪论--------------------------------------------------------------3
1.1车牌识别研究背景----------------------------------------------3
1.2车牌识别研究现状和趋势----------------------------------------3
1.3车牌识别研究内容----------------------------------------------4
2 车牌识别系统模块设计及流程概述------------------------------------5
2.1 总体方案------------------------------------------------------5
2.2 软件程序平台的选取--------------------------------------------6
3 车牌识别系统算法及程序设计----------------------------------------6
3.1 车牌区域的定位提取分割---------------------------------------6
3.2 牌照区域的字符分割-------------------------------------------7
3.3 字符的匹配识别及输出----------------------------------------10
4MATLAB平台的仿真结果及分析---------------------------------------11
5 结论-------------------------------------------------------------13
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