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Q260046902专业做论文西南科技大学毕业设计（论文）题目名称：车辆牌照图像识别算法研究与实现年级：2003级■本科□专科学生学号：20035064学生姓名：何建斌指导教师：方艳红学生单位：信息工程学院技术职称：讲师学生专业：生物医学工程教师单位：信息工程学院西南科技大学教务处制西南科技大学本科生毕业论文I车辆牌照图像识别算法研究与实现摘要：近年来随着国民经济的蓬勃发展，国内高速公路、城市道路、停车场建设越来越多，对交通控制、安全管理的要求也日益提高。因此，汽车牌照识别技术在公共安全及交通管理中具有特别重要的实际应用意义。本文对车牌识别系统中的车牌定位、字符分割和字符识别进行了初步研究。对车牌定位，本文采用投影法对车牌进行定位；在字符分割方面，本文使用阈值规则进行字符分割；针对车牌图像中数字字符识别的问题，本文采用了基于BP神经网络的识别方法。在学习并掌握了数字图像处理和模式识别的一些基本原理后，使用VC++6.0软件利用以上原理针对车牌识别任务进行编程。实现了对车牌的定位和车牌中数字字符的识别。关键词：车牌定位；字符分割；BP神经网络；车牌识别；VC++西南科技大学本科生毕业论文IIResearchandRealizationofLicensePlateRecognitionAlgorithmAbstract:Inrecentyears,withthevigorousdevelopmentofthenationaleconomy，therearemoreandmoreconstructinthedomesticexpressway,urbanroad,andparkingarea.Therequisitiononthetrafficcontrol,safetymanagementimprovesdaybyday.Therefore,licenseplaterecognitiontechnologyhastheparticularlyimportantpracticalapplicationvalueinthepublicsecurityandthetrafficcontrol.Inthepaper,apreliminaryresearchwasmadeonthelicenselocation,characterssegmentandcharactersrecognitionofthelicenseplaterecognition.Onthelicenselocation，theprojectionwasusedtolocatethelicenseplate;Onthecharacterssegmentation,theliminalrulewasusedtodividethecharacters;Inordertosolvetheproblemofthedigitalcharactersrecognitionintheplate,BPnervenetworkwasusedtorecognizethedigitalcharacters.Afterstudyingandmasteringsomebasicprinciplesofthedigitalimageprocessingandpatternrecognition,thetaskoflicenseplaterecognitionwasprogrammedwithVC++6.0usingaboveprinciples.Thelicenselocationandthedigitalcharactersrecognitioninthelicenseplatewereimplemented.Keywords:licenselocation,characterssegmentation,BPnervenetwork,licenseplaterecognition,VC++西南科技大学本科生毕业论文III目录第1章绪论.....................................................................................................................11.1课题研究背景.............................................................................................................11.2车辆牌照识别系统原理.............................................................................................11.3车辆牌照识别在国内外研究现状.............................................................................21.4本文主要工作及内容安排.........................................................................................3第2章车辆牌照的定位方法.....................................................................................42.1车辆牌照图像的预处理.............................................................................................42.1.1256色位图灰度化................................................................................................42.1.2灰度图像二值化..................................................................................................52.1.3消除背景干扰去除噪声......................................................................................62.2车辆牌照的定位方法简介.........................................................................................62.3系统采用的定位方法.................................................................................................72.3.1车辆牌照的水平定位..........................................................................................72.3.2车辆牌照的垂直定位..........................................................................................72.3.3定位的算法实现................................................................................................102.4实验结果分析...........................................................................................................12第3章车辆牌照的字符分割................................................................................133.1车牌预处理...............................................................................................................133.1.1去边框处理........................................................................................................133.1.2去噪声处理........................................................................................................133.1.3梯度锐化............................................................................................................153.1.4倾斜调整............................................................................................................163.2字符分割方法简介...................................................................................................173.3系统采用的分割方法...............................................................................................193.3.1算法介绍............................................................................................................193.3.2算法的实现........................................................................................................203.4字符分割实验结果...................................................................................................21西南科技大学本科生毕业论文IV第4章特征提取与字符识别................................................................................224.1字符的特征提取.......................................................................................................224.2字符的识别方法简介...............................................................................................234.3系统采用的识别方法................