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| 基于字符笔划特征的汽车牌照二值化方法 | |
| 引用本文： | 黄书强,孙承志,傅仲良.基于字符笔划特征的汽车牌照二值化方法[J].武汉大学学报(信息科学版),2003,28(1):71-73,79. |
| 作者姓名： | 黄书强 孙承志 傅仲良 |
| 作者单位： | 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 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 |
| 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。 |
| 关 键 词： | 二值化 Kamel_Zhao算法 牌照识别 |
| 文章编号： | 1671-8860(2003)01-0071-03 |
License Plate Binarization Algorithm Based on the Features of Characters' Strokes |
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| HUANG Shuqiang,SUN Chengzhi,FU Zhongliang.License Plate Binarization Algorithm Based on the Features of Characters'' Strokes[J].Geomatics and Information Science of Wuhan University,2003,28(1):71-73,79. | |
| Authors: | HUANG Shuqiang SUN Chengzhi FU Zhongliang |
| Institution: | HUANG Shuqiang 1 SUN Chengzhi 2 FU Zhongliang 3 |
| Abstract: | 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. |
| Keywords: | binarization Kamel_Zhao algorithm license plate recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |