基于字符笔划特征的汽车牌照二值化方法  

License Plate Binarization Algorithm Based on the Features of Characters' Strokes

作　　者：黄书强[1] 孙承志[2] 傅仲良[3] 

机构地区：[1]武汉大学计算机学院,武汉市珞喻路129号430079 [2]国家测绘局,北京市海淀区三里河路9号100830 [3]武汉大学空间信息与数字工程研究中心,武汉市珞喻路129号430079

出　　处：《武汉大学学报（信息科学版）》2003年第1期71-73,79,共4页Geomatics and Information Science of Wuhan University

摘　　要：提出了利用基于字符笔划特征的汽车牌照二值化方法。试验表明 ,该算法与Bernsen、Otsu、LEVBB等算法相比 ,能够很好地克服光照不均和各种污损的影响 ,实现对字符目标的提取。License plate binarization is a necessary step in the processing license plate recognition,after the license plate has been located and segmented exactly. Generally,Bernsen algorithm,Ostu algorithm and LEVBB algorithm are used for the license plate binarization. However, because of the deficiency in illumination and all kinds of pollution and defile,the above algorithms can not obtain good results.For this,this paper puts forward a new license plate binarization algorithm based on the features of characters' strokes.Quantities of experiments have indicated that the algorithm can overcome the problems and all kinds of pollution,and extract the character target exactly.

关 键 词：字符 笔划特征 汽车牌照 二值化 Kamel-Zhao算法 牌照识别 智能交通 光照 

分 类 号：U491[交通运输工程—交通运输规划与管理] TP751[交通运输工程—道路与铁道工程]