计算机科学与探索Issue(6)：719-726,8.DOI:10.3778/j.issn.1673-9418.1403016
基于边缘检测和颜色纹理直方图的车牌定位方法
Vehicle License Plate Location Method Based on Edge Detection and Color-Texture Histogram
摘要
Abstract
As existing vehicle license plate location algorithms tend to have a lower correctness rate on images with high resolution and complex background, this paper proposes a novel method to vehicle license plate location based on the edge detection and color-texture histogram. The proposed location method is divided into two phases. Firstly, the method extracts the vertical edges in the image by using an improved edge extraction method which combines Canny and Sobel algorithms. Then a filter and projection method is used to locate the potential plate area. To locate the plate precisely, the color-texture histogram feature of the potential region is extracted and matched to the trained classifiers. The experimental results show that, this method has a good robustness against complex backgrounds and uneven light, and can achieve good performance during both day and night.关键词
车牌定位/边缘检测/颜色纹理直方图/支持向量机(SVM)Key words
vehicle license plate location/edge detection/color-texture histogram/support vector machine (SVM)分类
信息技术与安全科学引用本文复制引用
郭延祥,陈耀武..基于边缘检测和颜色纹理直方图的车牌定位方法[J].计算机科学与探索,2014,(6):719-726,8.基金项目
The Key Technology Innovation Team Project of Zhejiang Province under Grant No.2011R09021-02(浙江省重点科技创新团队项目) （浙江省重点科技创新团队项目）
