摘要:作为智能交通系统的重要组成部分，车牌自动识别系统在现代交通领域研究中占有重要的地位，而对车牌定位的速度和效率也决定着车牌识别系统对车牌的的识别率，对其相关技术的研究逐渐受到人们的重视。因此，对车牌定位系统的研究有着重要的理论和现实意义。本文采用了一种由数学形态学和投影算法相结合的车牌定位方法，定位过程由以下几个步骤实现：首先，是对车牌的预处理，它包括车牌的灰度化，图像去噪等；采后采用数学形态学算子进行车牌车牌粗定位以提取车牌候选区域,设计出一个比较完整的车牌定位系统，并在理论的基础上，运用MATLAB对相应算法进行编程实现。为车牌识别系统中车牌字符分割和车牌识别打下了坚实的基础，实验结果表明，采用该算法进行车牌自动定位可取得较好的效果。
关键词：图像增强 边缘检测 车牌定位
ABSTRACT:As one of the significant part of Intelligent Transport Systems, License Plate Automatic Recognition occupies an important place in the study of the field in modern traffic, which is being taken more seriously in the research of its related technology. So，It's important to research the plate location system for theoretical and practical significant. This paper presents a license plate location based on projection which associate with mathematical morphology. Location processing is came true by the following steps: first of all, processing of the license plate image, image denoising, an so on; then, use morphological operators for license plate region’s rough detection, the paper has designed an intact license Plate Recognition system. On the premise of constructing a theory, the paper has programmed corresponding algorithms in the environment of MATLAB. It's laid a solid foundation for the license plate character segmentation and license plate recognition ,The experimental results show that this algorithm is suitable for license plate location and recognition.
Keywords：Image enhancement; Edge detection; License plate location;
伴随着全国各地的汽车数量的增加，城市交通状况日益受到了人们的热烈关注，汽车车牌识别系统是交通管理系统中重要的一个部分。因此，汽车车牌自动识别系统的研究与开发一直都是现代社会研究的热点内容之一。也是制约交通管理智能化、现代化的重要因素。而车牌定位系统是车牌识别系统中的关键技术之一，因此，对车牌定位系统的研究有着重大的意义。
