An efficient method of license plate location

被引：277
|
作者：
Zheng, D [1 ]
Zhao, YN [1 ]
Wang, HX [1 ]
机构：
[1] Tsinghua Univ, Dept Comp Sci & Technol, State Key Lab Intelligent Technol & Syst, Beijing 100084, Peoples R China
来源：
PATTERN RECOGNITION LETTERS | 2005年 / 26卷 / 15期
关键词：
image enhancement; edge detection; long curve and random noise removing; plate location and segmentation;
D O I：
10.1016/j.patrec.2005.04.014
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
License plate location is an important stage in vehicle license plate recognition for automated transport system. This paper presents a real time and robust method of license plate location. License plate area contains rich edge and texture information. We first extract out the vertical edges of the car image using image enhancement and Sobel operator, then remove most of the background and noise edges by an effective algorithm, and finally search the plate region by a rectangle window in the residual edge image and segment the plate out from the original car image. Experimental results demonstrate the great robustness and efficiency of our method. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码：2431 / 2438
页数：8
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