基于边缘检测及数学形态学的快速汽车车牌定位  

Car License Plate Location Based on Edge and Mathematical Morphology

作　　者：陈虹[1,2] 陈蕾[1] 蒋毅[2] 

机构地区：[1]苏州大学电子信息学院,苏州215021 [2]南京铁道职业技术学院苏州校区,苏州215000

出　　处：《交通与运输》2008年第H12期78-81,共4页Traffic & Transportation

摘　　要：车牌定位是汽车牌照识别系统的重要环节,定位的准确性直接影响车牌识别的准确率。文章研究了利用图像边缘及数学形态学的快速汽车车牌定位方法,首先将彩色图像灰度化,并利用Sobel算子进行图像边缘提取,然后运用数学形态学算法对二值图像进行处理,得到几个车牌候选区域,最后利用连通区域的长宽比、面积比及车牌字符水平分布特征等来准确定位车牌。实验表明、这一方法能快速准确地实现车牌定位。The car plate recognition system is an indispensable part of intelligent traffic system. Car license plate locating is the key process in car license plate recognition system. The efficiency of the locating will directly affect the veracity of recognition. In this paper we proposed a new method for car license plate locating. Firstly, a color image is turned into gray image and its edge is detected by using the Sobel operator; then, some morphology operators are used to delete noise and form some connecting areas; finally, the plates are located by length to width ratios and the number of white pixels of every connecting areas. The experimental results show that the method used in this paper can detect car license plates effectively and fast.

关 键 词：车牌定位 灰度 二值图像 边缘检测 数学形态学 

分 类 号：U495[交通运输工程—交通运输规划与管理]