Hybrid Method for License Plate Detection from Natural Scene Images

被引：0
|
作者：
Niu, Boya [1 ]
Huang, Linlin [1 ]
Hu, Jian [1 ]
机构：
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing, Peoples R China
来源：
PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND ELECTRONIC TECHNOLOGY | 2015年 / 3卷
关键词：
license plate detection; color pairs; mathematical morphology; HOG feature; SVM; RECOGNITION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
License plate detection is a key part in vehicle license plate recognition system. In this paper, we present a hybrid method for license plate detection from natural scene images for the all-day traffic surveillance environment. The proposed method includes two stages: rough detection and accurate detection. Coarse detection stage based on color edge and morphology can help finding the region of interest quickly; Accurate detection stage based on HOG and SVM accurately detect the vehicle license plate. The effectiveness of the proposed method has been proven by the experimental results on a large database of images.
引用
收藏
页码：32 / 36
页数：5
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