Ensemble Haar and MB-LBP features for license plate detection

Qiuping Pan; Jifeng Shen; Wankou Yang; Changyin Sun

doi:10.1007/978-3-642-36669-7_28

Ensemble Haar and MB-LBP features for license plate detection

Qiuping Pan
, Jifeng Shen
, Wankou Yang
, Changyin Sun

Southeast University, Nanjing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

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.

Original language	English
Title of host publication	Intelligent Science and Intelligent Data Engineering - Third Sino-Foreign-Interchange Workshop, IScIDE 2012, Revised Selected Papers
Pages	223-230
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-36669-7_28
State	Published - 2013
Externally published	Yes
Event	3rd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2012 - Nanjing, China Duration: 15 Oct 2012 → 17 Oct 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7751 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2012
Country/Territory	China
City	Nanjing
Period	15/10/12 → 17/10/12

Keywords

AdaBoost
Non-maximum suppression
Plate detection
Weights updated

Access to Document

10.1007/978-3-642-36669-7_28

Cite this

Pan, Q., Shen, J., Yang, W., & Sun, C. (2013). Ensemble Haar and MB-LBP features for license plate detection. In Intelligent Science and Intelligent Data Engineering - Third Sino-Foreign-Interchange Workshop, IScIDE 2012, Revised Selected Papers (pp. 223-230). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7751 LNCS). https://doi.org/10.1007/978-3-642-36669-7_28

Pan, Qiuping ; Shen, Jifeng ; Yang, Wankou et al. / Ensemble Haar and MB-LBP features for license plate detection. Intelligent Science and Intelligent Data Engineering - Third Sino-Foreign-Interchange Workshop, IScIDE 2012, Revised Selected Papers. 2013. pp. 223-230 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@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",

}

Pan, Q, Shen, J, Yang, W & Sun, C 2013, Ensemble Haar and MB-LBP features for license plate detection. in Intelligent Science and Intelligent Data Engineering - Third Sino-Foreign-Interchange Workshop, IScIDE 2012, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7751 LNCS, pp. 223-230, 3rd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2012, Nanjing, China, 15/10/12. https://doi.org/10.1007/978-3-642-36669-7_28

Ensemble Haar and MB-LBP features for license plate detection. / Pan, Qiuping; Shen, Jifeng; Yang, Wankou et al.
Intelligent Science and Intelligent Data Engineering - Third Sino-Foreign-Interchange Workshop, IScIDE 2012, Revised Selected Papers. 2013. p. 223-230 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7751 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Ensemble Haar and MB-LBP features for license plate detection

AU - Pan, Qiuping

AU - Shen, Jifeng

AU - Yang, Wankou

AU - Sun, Changyin

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - AdaBoost

KW - Non-maximum suppression

KW - Plate detection

KW - Weights updated

UR - https://www.scopus.com/pages/publications/84892944815

U2 - 10.1007/978-3-642-36669-7_28

DO - 10.1007/978-3-642-36669-7_28

M3 - 会议稿件

AN - SCOPUS:84892944815

SN - 9783642366680

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 223

EP - 230

BT - Intelligent Science and Intelligent Data Engineering - Third Sino-Foreign-Interchange Workshop, IScIDE 2012, Revised Selected Papers

T2 - 3rd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2012

Y2 - 15 October 2012 through 17 October 2012

ER -

Pan Q, Shen J, Yang W, Sun C. Ensemble Haar and MB-LBP features for license plate detection. In Intelligent Science and Intelligent Data Engineering - Third Sino-Foreign-Interchange Workshop, IScIDE 2012, Revised Selected Papers. 2013. p. 223-230. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-36669-7_28

Ensemble Haar and MB-LBP features for license plate detection

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Keywords

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