A Hybrid License Plate Extraction Method for Complex Scenes

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18th International Conference on Pattern Recognition (ICPR'06) Volume 2

Hong Kong

August 20-August 24

ISBN: 0-7695-2521-0

	ASCII Text	x
	Wangchao Le, Shaofa Li, "A Hybrid License Plate Extraction Method for Complex Scenes," Pattern Recognition, International Conference on, vol. 2, pp. 324-327, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006.

	BibTex	x
	@article{ 10.1109/ICPR.2006.83, author = {Wangchao Le and Shaofa Li}, title = {A Hybrid License Plate Extraction Method for Complex Scenes}, journal ={Pattern Recognition, International Conference on}, volume = {2}, year = {2006}, issn = {1051-4651}, pages = {324-327}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.83}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - A Hybrid License Plate Extraction Method for Complex Scenes SN - 1051-4651 SP324 EP327 A1 - Wangchao Le, A1 - Shaofa Li, PY - 2006 KW - null VL - 2 JA - Pattern Recognition, International Conference on ER -

Wangchao Le, South China University of Technology, Canton, 510640, P.R China

Shaofa Li, South China University of Technology, Canton, 510640, P.R China

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.83

This paper presents a hybrid method for extracting license plates from cluttered images. The proposed algorithm consists of three major components. First, a line detection method is proposed to detect straight lines in the edge map. Second, a weight assignment scheme is applied to obtain a weight based edge density map. Regions with the densest edges are selected as candidates. Third, all candidate plates will pass to a refining selection procedure. One candidate that best satisfy the color constraints becomes the output.

Citation:

Wangchao Le, Shaofa Li, "A Hybrid License Plate Extraction Method for Complex Scenes," icpr, vol. 2, pp.324-327, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006

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