一种梯度特征与区域合并的车牌定位方法  

Gradient features and region merging based vehicle license plate detection

作　　者：潘巍[1] 刘宏宇[1] 安荣[1] 杨娜菲[1] 黄亦佳[1] 

机构地区：[1]首都师范大学信息工程学院,北京100048

出　　处：《计算机工程与应用》2011年第18期204-206,230,共4页Computer Engineering and Applications

基　　金：北京市科技新星计划(No.2007B-063);北京市教委项目(No.KM200810028017)

摘　　要：车牌定位是车牌识别系统的重要组成部分。针对车牌目标所在区域梯度变换频繁的特点,利用高通滤波保留梯度变换频繁区域,形态学处理后,将相邻区域进行合并以确定车牌的候选区域。再结合车牌的几何特征与区域目标背景比,找到车牌位置,利用投影方法去除车牌边框,实现车牌的精确定位。实验结果表明,该方法削弱了传统车牌定位算法对车辆大小、图像环境、拍摄角度等的要求,进一步提高了算法的鲁棒性和实用性。The vehicle license plate detection is the important part of license plate recognition system.The license plate region is in the characteristics of gradient and frequent changes.High-pass filter is proposed to retain the gradient and frequent changes regions,merged adjacent regions as candidate regions after morphological processing.Combined with the geometric features of license plates and the ratio of regional objectives in the background to find the license plate location,the projection methods are adopted to remove the license plate frame,to achieve the exact position of license plate.Experimental results show that this approach can weaken the traditional requirements of the size of vehicle license plate,the image environment,shooting angles,etc.,and further improve the robustness and practicality.

关 键 词：车牌定位 高频特征 梯度 区域合并 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]