汽车号牌识别系统毕业设计.doc
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汽车号牌识别系统毕业设计,13000字自己原创的毕业论文,已经通过校内系统检测,重复率低,仅在本站独家出售,大家放心下载使用目录摘要iiabstractiii第一章 汽车号牌识别技术介绍11.0 引言11.1 汽车号牌识别系统11.1.1 汽车号牌识别系统简介11.1.2 车牌识别技术发展与研究现状21.1.3 识别系统...
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汽车号牌识别系统毕业设计
13000字
自己原创的毕业论文,已经通过校内系统检测,重复率低,仅在本站独家出售,大家放心下载使用
目 录
摘要 II
Abstract III
第一章 汽车号牌识别技术介绍 1
1.0 引言 1
1.1 汽车号牌识别系统 1
1.1.1 汽车号牌识别系统简介 1
1.1.2 车牌识别技术发展与研究现状 2
1.1.3 识别系统中应用的技术 3
1.2 汽车号牌识别系统的应用 5
1.2.1 汽车号牌识别系统于智能交通系统的应用 5
第二章 基于ARM平台的硬件设计 6
2.1 Cortex M3单片机简介 6
2.2 单片机系统的硬件介绍 6
第三章 基于ARM平台的软件设计及算法介绍 9
3.1 软件运行的流程框图 9
3.2 各步骤程序详解 10
3.2.1初始化系统 10
3.2.2 主界面 10
3.2.2.1拍照 10
3.2.2.2图片浏览与图像识别 11
3.2.2.3 图像处理 13
第四章 方案验证 17
4.1拍摄后原图 17
4.2 经过灰度均衡二值化后的图像 17
4.3经过膨胀处理后的图像 18
4.4 经过提取边框,字符分割,字符归一化后的图像 18
4.5 最终输出结果 19
结论 20
附录1:致谢 21
附录2:参考文献 22
附录3:各步骤算法程序 24
附录4:硬件原理图 35
摘要 汽车号牌识别技术是实现智能交通系统的关键技术,对交通事业的发展起着十分重要的作用,进而影响的经济发展速度及人们的生活质量。车牌识别系统运用图像采集技术、图像识别算法,能够实时准确地识别出车牌的数字、字母及汉字字符,进而实现电脑化监控和管理车辆。识别系统的软件则是由具有车牌识别功能的图像分析和处理软件,以及能够具体满足应用需求的后台管理软件组成。车牌识别系统主要分为图像预处理、车牌定位、字符分割和字符识别等主要步骤。
针对不同的步骤,本文研究分析了现有的理论算法,并提出了具有实际应用意义的解决方案。 1.在图像预处理模块,因为人眼对于不同颜色分量的敏感度不同,图像灰度化采用加权平均值法;二值化过程中阈值的选取至关重要,本文采用恒定阈值法,效果理想;去噪过程采用的是膨胀腐蚀算法以及噪点去除算法;2.车牌定位采用固定图像位置定位,主要适用于汽车收费站,停车场等车辆位置固定的场所; 3.在车牌字符分割模块,使用了垂直投影分割法,该方法基于车牌的垂直投影,能够将字符准确的分割开,利于车牌字符识别: 4.本文对车牌数字和车牌字母采用统一的处理方法,数字字母识别采用提取边框区域,分割单位矩形,各系数统计计数,数据综合计算,字库比对识别;根据上述方法原理,基于ARM开发平台进行软硬件设计,编写了车牌识别软件,并下载验证。
关键字:摄像头:车牌图像;图像预处理;字符分割;字符识别;ARM单片机
License Plate Recognition System
Abstract car number plate recognition technology is the key technology of intelligent transportation system ,and plays a very important role in the development of transport ,thus affect the pace of economic development and quality of life . using image acquisition , image recognition algorithm,License plate recognition system can accurately identify the real-time license plate numbers, letters and Chinese characters , thus achieving monitoring and management the vehicle by computer . Identification system software is consist of the license plate recognition software,which can analysis and deal with image , and backstage management software that have the ability to meet specific application requirements. License plate recognition system is divided into image preprocessing , license plate location, character segmentation and character recognition.
For different steps , this paper analyzes the existing theory and algorithms, and proposed solutions to practical application significance . 1 In the image pre-processing module , because of the different sensitivity of the human eye for different color components , grayscale images using the weighted average method ; the process of selecting the binary threshold is crucial , we use a constant threshold method and get the desired effect ; denoising algorithm and corrosion expansion algorithm are used in the denoising process ; 2 license plate location using a fixed image location positioning, primarily for automotive toll stations, car parks and other vehicle position fixed place ; 3 in license plate character segmentation module , using the vertical projection segmentation method , which is based on the license plate of the vertical projection , can accurately separate the characters , conducive to the license plate character recognition : 4 this article license adopt a unified approachplate for the numbers and letters of lcense plate , Dgital character recognition adopt extractng border area , segment unit rectangul,statistic and count every coefficients, the ntegrated computaton of data ; according to the principle of the method , based on the ARM development platform for hardware and software design , write the license plate recognition software , and download verified.
Key words : camera : the license plate image ; image preprocessing ; character segmentation ; character recognition ; ARM microcontroller
13000字
自己原创的毕业论文,已经通过校内系统检测,重复率低,仅在本站独家出售,大家放心下载使用
目 录
摘要 II
Abstract III
第一章 汽车号牌识别技术介绍 1
1.0 引言 1
1.1 汽车号牌识别系统 1
1.1.1 汽车号牌识别系统简介 1
1.1.2 车牌识别技术发展与研究现状 2
1.1.3 识别系统中应用的技术 3
1.2 汽车号牌识别系统的应用 5
1.2.1 汽车号牌识别系统于智能交通系统的应用 5
第二章 基于ARM平台的硬件设计 6
2.1 Cortex M3单片机简介 6
2.2 单片机系统的硬件介绍 6
第三章 基于ARM平台的软件设计及算法介绍 9
3.1 软件运行的流程框图 9
3.2 各步骤程序详解 10
3.2.1初始化系统 10
3.2.2 主界面 10
3.2.2.1拍照 10
3.2.2.2图片浏览与图像识别 11
3.2.2.3 图像处理 13
第四章 方案验证 17
4.1拍摄后原图 17
4.2 经过灰度均衡二值化后的图像 17
4.3经过膨胀处理后的图像 18
4.4 经过提取边框,字符分割,字符归一化后的图像 18
4.5 最终输出结果 19
结论 20
附录1:致谢 21
附录2:参考文献 22
附录3:各步骤算法程序 24
附录4:硬件原理图 35
摘要 汽车号牌识别技术是实现智能交通系统的关键技术,对交通事业的发展起着十分重要的作用,进而影响的经济发展速度及人们的生活质量。车牌识别系统运用图像采集技术、图像识别算法,能够实时准确地识别出车牌的数字、字母及汉字字符,进而实现电脑化监控和管理车辆。识别系统的软件则是由具有车牌识别功能的图像分析和处理软件,以及能够具体满足应用需求的后台管理软件组成。车牌识别系统主要分为图像预处理、车牌定位、字符分割和字符识别等主要步骤。
针对不同的步骤,本文研究分析了现有的理论算法,并提出了具有实际应用意义的解决方案。 1.在图像预处理模块,因为人眼对于不同颜色分量的敏感度不同,图像灰度化采用加权平均值法;二值化过程中阈值的选取至关重要,本文采用恒定阈值法,效果理想;去噪过程采用的是膨胀腐蚀算法以及噪点去除算法;2.车牌定位采用固定图像位置定位,主要适用于汽车收费站,停车场等车辆位置固定的场所; 3.在车牌字符分割模块,使用了垂直投影分割法,该方法基于车牌的垂直投影,能够将字符准确的分割开,利于车牌字符识别: 4.本文对车牌数字和车牌字母采用统一的处理方法,数字字母识别采用提取边框区域,分割单位矩形,各系数统计计数,数据综合计算,字库比对识别;根据上述方法原理,基于ARM开发平台进行软硬件设计,编写了车牌识别软件,并下载验证。
关键字:摄像头:车牌图像;图像预处理;字符分割;字符识别;ARM单片机
License Plate Recognition System
Abstract car number plate recognition technology is the key technology of intelligent transportation system ,and plays a very important role in the development of transport ,thus affect the pace of economic development and quality of life . using image acquisition , image recognition algorithm,License plate recognition system can accurately identify the real-time license plate numbers, letters and Chinese characters , thus achieving monitoring and management the vehicle by computer . Identification system software is consist of the license plate recognition software,which can analysis and deal with image , and backstage management software that have the ability to meet specific application requirements. License plate recognition system is divided into image preprocessing , license plate location, character segmentation and character recognition.
For different steps , this paper analyzes the existing theory and algorithms, and proposed solutions to practical application significance . 1 In the image pre-processing module , because of the different sensitivity of the human eye for different color components , grayscale images using the weighted average method ; the process of selecting the binary threshold is crucial , we use a constant threshold method and get the desired effect ; denoising algorithm and corrosion expansion algorithm are used in the denoising process ; 2 license plate location using a fixed image location positioning, primarily for automotive toll stations, car parks and other vehicle position fixed place ; 3 in license plate character segmentation module , using the vertical projection segmentation method , which is based on the license plate of the vertical projection , can accurately separate the characters , conducive to the license plate character recognition : 4 this article license adopt a unified approachplate for the numbers and letters of lcense plate , Dgital character recognition adopt extractng border area , segment unit rectangul,statistic and count every coefficients, the ntegrated computaton of data ; according to the principle of the method , based on the ARM development platform for hardware and software design , write the license plate recognition software , and download verified.
Key words : camera : the license plate image ; image preprocessing ; character segmentation ; character recognition ; ARM microcontroller