文档介绍：摘要
车牌识别系统(LPRS)是智能交通系统的重要组成部分。随着机动车辆数量的大幅度增加以及计算机技术的发展,人们对交通控制系统的要求显著提高。因而智能交通系统被广泛地应用于交通控制系统当中,比如高速公路收费、停车场车辆管理、违章车辆监控、交通诱导控制等场合。这使得车牌识别系统也得到了更广泛的关注。与传统的车辆管理方法比较,车牌识别系统可以大大提高交通管理的效率和水平,帮助实现车辆管理的规范化。
本文主要介绍了基于MFC开发的有关数字图像处理的车牌数字识别系统。系统是利用单张包含车牌的静态图片进行识别的,整个识别过程主要分为车牌定位和字符分割和字符识别三个大的模块。而其中的字符识别是系统的核心部分。字符识别目前运用的最多的就是神经网络和模板匹配的方法,本文所介绍的就是基于模板匹配的方法来实现车牌数字的识别。过程中也相应结合了特征提取、直方图统计等一系列方法。从实验得知,这种模板匹配的方法实现简单,且容易理解,在确保识别准确率的前提下,可以提高识别的效率,使得系统在比较准确地定位了车牌及分割出字符后,能更准确地实现字符的识别。
关键字: 车牌识别; MFC; 模板匹配; 特征提取
Abstract
License Plate Recognition System (LPRS) is the important part of Intelligent Transportation System. With the increase in the number of motor vehicles and the development puter technology, the requirements for traffic control systems are significantly increased to people. Because Intelligent Transportation System is widely used in traffic control systems, such as highway tolling, parking vehicles’ management, Illegal vehicles monitoring, traffic guidance and control and so on. So it makes the license Plate Recognition System has also been a more widespread concern. Compared to the traditional methods of vehicle management, license Plate Recognition System can greatly improve the efficiency and level of traffic management to help achieve the standardization of vehicle management.
This paper mainly introduces the license Plate Number Recognition System which based on MFC and digital image processing. The system uses static images which contains a plate to recognize the numbers of the plates, the entire recognition process consists of three major modules, license plate location and character segmentation and character recognition. Character recognition is the core of the system. work and template matching are mostly used in Character recognition currently, The Character recognition process introduced in this paper is based on template matching method, it also uses the feature extraction, Histogram statistics and a series of methods. From the experimental results, this