[1]LIU Bin,YAN Jing-qi,SHI Peng-fei.A license plate location method based on the DoG+AdaBoost algorithm[J].CAAI Transactions on Intelligent Systems,2010,5(6):471-475.
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A license plate location method based on the DoG+AdaBoost algorithm

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 5 Number of periods: 2010 6 Page number: 471-475 Column: 学术论文—机器感知与模式识别 Public date: 2010-12-25
Title:
A license plate location method based on the DoG+AdaBoost algorithm
Author(s):
LIU Bin;  YAN Jing-qi;  SHI Peng-fei
Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200240, China
Keywords:
complex illumination conditions;  license plate location;  AdaBoost algorithm;  differential of Gaussian (DoG)
CLC:
TP391.4
DOI:
-
Abstract:
While focusing on the effect of complex illumination conditions in an actual shooting scene and different colors of a license plate in various locations, a license plate detection method was presented based on the DoG+AdaBoost algorithm. First, by differential Gaussian processing, the DoG image was obtained from the grayscale image, and then a 2stage detector formed by the DoG+AdaBoost classifier and Gray+AdaBoost classifier was used to detect the license plate. Finally, the registration number information was used to verify the license plate and to produce the final result. The algorithm greatly reduced the effect of complex illumination conditions and different colors of the license plate in various locations with a fast processing time and high detection rate. The algorithm performed well in the experiment and possesses high practical value.
References:
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