基于顶帽变换的车牌定位技术
发布时间：2019-04-17 12:29
【摘要】： 随着我国城市化进程加速及汽车行业的迅猛发展,为加强道路车辆管理、提高运输效率,增强交通安全,车辆牌照自动识别技术(License Plate Recognition,LPR)作为智能交通系统的重要组成部分,应用前景广泛。以车牌识别为基础,获取车辆信息后在多种场合都可有效使用,如高速公路收费系统,道路监控系统,小区、车场收费管理系统,交通流量统计等,以进行自动登记、检测、验证、报警等。 理论上,车牌识别系统包括车牌图像预处理、车牌定位、车牌字符切割和字符识别四个主要部分,其中车牌定位是后续工作的基本保证。本文在研究分析近年来一些典型的车牌定位算法的基础上,提出针对国内任何类型机动车辆牌照,在复杂光照条件下都可识别的算法。本论文研究的主要内容和创新点包括: 在车牌图像定位方面,采用基于灰度图像形态学处理的方法,利用顶帽变换进行车牌定位的算法,并构造适宜的结构元素。实际应用中,车体由于广告标识、光线干扰等情况产生的伪车牌区域。而后为加强定位精度,提出对车牌区域利用线性投影技术的二次定位,大大提高了车牌位置的精确度。 在车牌定位软件系统的设计与实现上,采用在VC++6.0环境下使用Open CV进行开发的方法,系统实现的功能则包括车辆图像的导入与编辑、车辆图像二值化及预处理、车牌定位等。
[Abstract]:With the acceleration of urbanization and the rapid development of automobile industry in China, in order to strengthen the management of road vehicles, improve the transport efficiency, enhance the traffic safety, vehicle license plate automatic identification technology (License Plate Recognition, As an important part of intelligent transportation system, LPR (Intelligent Transportation system) has a wide application prospect. Based on license plate recognition, vehicle information can be used effectively on many occasions after obtaining vehicle information, such as highway toll system, road monitoring system, district, parking lot toll management system, traffic flow statistics and so on, for automatic registration and detection. Verification, alarm, etc. Theoretically, the license plate recognition system consists of four main parts: license plate image preprocessing, license plate location, license plate character cutting and character recognition, in which license plate location is the basic guarantee of the follow-up work. Based on the research and analysis of some typical license plate location algorithms in recent years, this paper proposes an algorithm which can be recognized under complex illumination conditions for any type of license plate of domestic motor vehicles. The main contents and innovations of this paper include: in license plate image location, the method based on gray image morphology processing is adopted, and the top cap transformation is used to carry out license plate location algorithm, and the appropriate structural elements are constructed. In practical application, the vehicle body due to advertising signs, light interference and other conditions of the false license plate area. Then, in order to enhance the positioning accuracy, the linear projection technique is used to locate the license plate area, which greatly improves the accuracy of the license plate location. In the design and implementation of license plate positioning software system, the method of using Open CV in VC 6.0.The functions of the system include the import and edit of vehicle image, the binarization of vehicle image and the pretreatment of vehicle image, and the functions of the system include import and edit of vehicle image, binary of vehicle image and pretreatment of vehicle image. License plate location etc.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2010
【分类号】：TP391.41
本文编号：2459438
[Abstract]:With the acceleration of urbanization and the rapid development of automobile industry in China, in order to strengthen the management of road vehicles, improve the transport efficiency, enhance the traffic safety, vehicle license plate automatic identification technology (License Plate Recognition, As an important part of intelligent transportation system, LPR (Intelligent Transportation system) has a wide application prospect. Based on license plate recognition, vehicle information can be used effectively on many occasions after obtaining vehicle information, such as highway toll system, road monitoring system, district, parking lot toll management system, traffic flow statistics and so on, for automatic registration and detection. Verification, alarm, etc. Theoretically, the license plate recognition system consists of four main parts: license plate image preprocessing, license plate location, license plate character cutting and character recognition, in which license plate location is the basic guarantee of the follow-up work. Based on the research and analysis of some typical license plate location algorithms in recent years, this paper proposes an algorithm which can be recognized under complex illumination conditions for any type of license plate of domestic motor vehicles. The main contents and innovations of this paper include: in license plate image location, the method based on gray image morphology processing is adopted, and the top cap transformation is used to carry out license plate location algorithm, and the appropriate structural elements are constructed. In practical application, the vehicle body due to advertising signs, light interference and other conditions of the false license plate area. Then, in order to enhance the positioning accuracy, the linear projection technique is used to locate the license plate area, which greatly improves the accuracy of the license plate location. In the design and implementation of license plate positioning software system, the method of using Open CV in VC 6.0.The functions of the system include the import and edit of vehicle image, the binarization of vehicle image and the pretreatment of vehicle image, and the functions of the system include import and edit of vehicle image, binary of vehicle image and pretreatment of vehicle image. License plate location etc.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2010
【分类号】：TP391.41
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