文献类型：期刊文献

中文题名：基于OpenCV的车牌定位和校正方法

英文题名：Vehicle license plate location and correction based on OpenCV

作者：朱梦哲[1];陈志华[1];赵钟[1];尤越[1]

机构：[1]华东理工大学信息科学与工程学院,上海200237

年份：2013

卷号：33

期号：A01

起止页码：223

中文期刊名：计算机应用

外文期刊名：journal of Computer Applications

收录：CSTPCD;;北大核心:【北大核心2011】；CSCD:【CSCD2013_2014】；

基金：浙江大学CAD&CG国家重点实验室开放基金课题(A1213);华东理工大学国家大学生创新性实验计划项目(S11075)

语种：中文

中文关键词：OpenCV;车牌;识别;定位;校正;纹理特征;颜色特征

外文关键词：OpenCV; vehicle license plate; recognition; location; correction; texture feature; color feature

摘要：提出了一种基于OpenCV的车牌识别和校正方法。该方法采用纹理特征和颜色信息相结合的算法对车牌进行定位,采用空间域分析的方法对倾斜车牌进行校正。在Visual Studio 2010和OpenCV2.4.1平台下验证,该方法能够对不同场景下不同种类的车牌进行定位和校正。该方法有较高的定位和校正准确率,并且能够应用于多种场合。
Vehicle license plate recognition is an important technology in traffic management. Location and correction of vehicle license plate is the most important part of vehicle license plate recognition. This paper presented a method of vehicle license plate location and correction based on OpenCV. The proposed method got the location of plate using both color and texture information. And it used space domain analysis to correct plates. Experiments using Visual Studio 2010 and OpenCV 2.4.1 confirmed it＇s effectiveness in different types of plates. And it can be used under different conditions.