摘要
针对复杂背景下车牌定位精度低的问题,提出一种基于字符边缘检测和颜色特征的定位方法.针对图像中车牌区域含有的丰富边缘,首先进行垂直边缘检测,然后去除大量背景和噪声边缘,接着通过对垂直边缘的统计分析确定2个候选区,最后结合车牌的颜色特征确定最终的车牌图像区域.实验结果表明,该方法准确率高,鲁棒性好,具有较大的实用价值.
Aiming at low precision of license plate location in the color vehicle images with complex background, a hybrid license plate location method based on edge detection and color features has been proposed. License plate region contains rich edge information, so the vertical edges are extracted out, and then most of the background and noise edges are removed, after that two candidate regions are ascertained by vertical edges statistical analysis, and the region of real plate is filtrated finally by color features of plate. Experimental results demonstrate the method is accurate and robust. It has good practical value.
出处
《扬州大学学报（自然科学版）》
CAS
CSCD
2008年第3期57-61,共5页
Journal of Yangzhou University：Natural Science Edition
基金
国家自然科学基金资助项目(20299030)
扬州大学自然科学基金资助项目(KK0313090)
关键词
车牌定位
灰度拉伸
边缘检测
颜色特征
license plate location
gray expanding
edge detection
color features
