@inproceedings{fb5b2559b3d94fe89adf3289d2b40879,
title = "Ensemble Haar and MB-LBP features for license plate detection",
abstract = "This paper presents a new license plate detection algorithm, in which, the Haar and MB-LBP features are combined and the updated rules of the sample weights are revised. The cascade classifiers are used to detect digitals in the image, Non-Maximum Suppression and the license plate characteristics are applied to locate license plate area accurately. Experimental results show that the proposed method could effectively avoid the phenomenon of weights distortions and get higher detection rate while reducing false alarm rate.",
keywords = "AdaBoost, Non-maximum suppression, Plate detection, Weights updated",
author = "Qiuping Pan and Jifeng Shen and Wankou Yang and Changyin Sun",
year = "2013",
doi = "10.1007/978-3-642-36669-7\_28",
language = "英语",
isbn = "9783642366680",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "223--230",
booktitle = "Intelligent Science and Intelligent Data Engineering - Third Sino-Foreign-Interchange Workshop, IScIDE 2012, Revised Selected Papers",
note = "3rd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2012 ; Conference date: 15-10-2012 Through 17-10-2012",
}