Car Plate Detection Using Cascaded Tree-Style Learner Based on Hybrid Object Features

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2006 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'06)

Sydney, NSW, Australia

November 22-November 24

ISBN: 0-7695-2688-8

	ASCII Text	x
	Qiang Wu, Huaifeng Zhang, Wenjing Jia, Xiangjian He, Jie Yang, Tom Hintz, "Car Plate Detection Using Cascaded Tree-Style Learner Based on Hybrid Object Features," Advanced Video and Signal Based Surveillance, IEEE Conference on, pp. 15, 2006 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'06), 2006.

	BibTex	x
	@article{ 10.1109/AVSS.2006.30, author = {Qiang Wu and Huaifeng Zhang and Wenjing Jia and Xiangjian He and Jie Yang and Tom Hintz}, title = {Car Plate Detection Using Cascaded Tree-Style Learner Based on Hybrid Object Features}, journal ={Advanced Video and Signal Based Surveillance, IEEE Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2688-8}, pages = {15}, doi = {http://doi.ieeecomputersociety.org/10.1109/AVSS.2006.30}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Advanced Video and Signal Based Surveillance, IEEE Conference on TI - Car Plate Detection Using Cascaded Tree-Style Learner Based on Hybrid Object Features SN - 0-7695-2688-8 SP EP A1 - Qiang Wu, A1 - Huaifeng Zhang, A1 - Wenjing Jia, A1 - Xiangjian He, A1 - Jie Yang, A1 - Tom Hintz, PY - 2006 KW - null VL - 0 JA - Advanced Video and Signal Based Surveillance, IEEE Conference on ER -

Qiang Wu, University of Technology, Australia

Huaifeng Zhang, University of Technology, Australia

Wenjing Jia, University of Technology, Australia

Xiangjian He, University of Technology, Australia

Jie Yang, Shanghai Jiaotong Univ., China

Tom Hintz, University of Technology, Australia

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AVSS.2006.30

Car plate detection is a key component in automatic license plate recognition system. This paper adopts an enhanced cascaded tree style learner framework for car plate detection using the hybrid object features including the simple statistical features and Harr-like features. The statistical features are useful for simplifying the process on cascade classifier. The cascaded tree-style detector design will further reduce the false alarm and the false dismissal while retaining a high detection ratio. The experimental results obtained by the proposed algorithm exhibit the encouraging performance.

Citation:

Qiang Wu, Huaifeng Zhang, Wenjing Jia, Xiangjian He, Jie Yang, Tom Hintz, "Car Plate Detection Using Cascaded Tree-Style Learner Based on Hybrid Object Features," avss, pp.15, 2006 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'06), 2006

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