重庆大学学报2016，Vol.39Issue(2)：89-98,10.DOI:10.11835/j.issn.1000-582X.2016.02.012
多尺度积角点检测和视觉颜色特征的鲁棒车牌定位算法
A robust license plate location algorithm based on multi-scale feature fusion corner detection and visual color features
摘要
Abstract
Scale,affine variance and complex background are important factors affecting the accuracy of license plate location.We presented a method of license plate location based on multi-scale product of corner detection and visual color features in difference of Gaussian (DOG)scale space.Based on the image edge information in DOG scale space,we first extracted scale-and-affine-invariant corner and color features through multi-scale multiplication,and then obtained the candidate license plate location by fusing the corner and the color features.Finally,we accurately located the license plate by using the distance between the feature points in the plate region and the intensive relationship of the points.Experiments on several real-world vehicle image data sets under complex conditions have verified the proposed method has high effectiveness and efficiency in locating license plates,and greater performance in robustness of noise and affine variance than other state-of-art license plate localization methods.关键词
车牌定位/尺度空间/角点检测/视觉颜色特征/特征融合/鲁棒性Key words
license plate locating/scale space/corner detection/visual color feature/feature fusion/robustness feature fusion/robustness分类
信息技术与安全科学引用本文复制引用
陈庄,杨峰,冯欣,崔少国,李博..多尺度积角点检测和视觉颜色特征的鲁棒车牌定位算法[J].重庆大学学报,2016,39(2):89-98,10.基金项目
国家自然科学基金青年科学基金资助项目（61202348）；重庆理工大学创新基金资助项目（YCX2014226）；重庆市基础与前沿研究计划资助项目（cstc2013jcyjA40038）。Supported by National Natural Science Foundation of China （61202348）；Chongqing University of Science and Technology Innovation Foundation （YCX2014226）；Chongqing Natural Science Foundation （cstc2013jcyj-A40038）． （）
