Combining Edge and Colour Information for Number Plate Detection

Jia, W; He, S; Zhang, H; Wu, Q

Combining Edge and Colour Information for Number Plate Detection

Jia, W

He, S

Zhang, H Wu, Q

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Publisher:: Image and Vision Computing New Zealand
Publication Type:: Conference Proceeding
Citation:: Proceedings of Image and Vision Computing New Zealand 2007, 2007, pp. 227 - 232
Issue Date:: 2007-01

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Field	Value	Language
dc.contributor.author	Jia, W https://orcid.org/0000-0002-0940-3338	en_US
dc.contributor.author	He, S https://orcid.org/0000-0001-8962-540X	en_US
dc.contributor.author	Zhang, H	en_US
dc.contributor.author	Wu, Q https://orcid.org/0000-0001-5641-2483	en_US
dc.contributor.editor	Cree Michael, J	en_US
dc.date	2007-12-05	en_US
dc.date.issued	2007-01	en_US
dc.identifier.citation	Proceedings of Image and Vision Computing New Zealand 2007, 2007, pp. 227 - 232	en_US
dc.identifier.isbn	978-0-473-13008-4	en_US
dc.identifier.uri	http://hdl.handle.net/10453/6826
dc.description.abstract	This paper presents a method for vehicle number plate detection which combines edge and colour features of number plates. We concentrate on two key issues of this application: speed and robustness. Our focus is put on detecting parts of a number plate, instead of the number plate itself as a whole. To achieve the target of real-time detection, two simple features based on a redeÂ¯ned vertical edge map are constructed. To address the illumination-sensitive problem of using colour information, a Gaussian weighted histogram intersection (GWHI) method is proposed. The above new ideas compose the major part of the algorithm. Our experimental results demonstrate a promising preliminary result on detecting yellow number plates in terms of detection speed and robustness, which shows the feasibility of the proposed method.	en_US
dc.publisher	Image and Vision Computing New Zealand	en_US
dc.relation.ispartof	Proceedings of Image and Vision Computing New Zealand 2007	en_US
dc.relation.ispartof	Image and Vision Computing Conference	en_US
dc.title	Combining Edge and Colour Information for Number Plate Detection	en_US
dc.type	Conference Proceeding
utslib.location	Hamilton, New Zealand	en_US
utslib.location.activity	Hamilton, New Zealand	en_US
utslib.for	080106 Image Processing	en_US
utslib.for	080104 Computer Vision	en_US
utslib.for	080109 Pattern Recognition and Data Mining	en_US
dc.location.activity	Hamilton, New Zealand	en_US
dc.location.activity	Harbin, China
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Hamilton, New Zealand	en_US
pubs.start-date	2007-12-05	en_US

Abstract:

This paper presents a method for vehicle number plate detection which combines edge and colour features of number plates. We concentrate on two key issues of this application: speed and robustness. Our focus is put on detecting parts of a number plate, instead of the number plate itself as a whole. To achieve the target of real-time detection, two simple features based on a redeÂ¯ned vertical edge map are constructed. To address the illumination-sensitive problem of using colour information, a Gaussian weighted histogram intersection (GWHI) method is proposed. The above new ideas compose the major part of the algorithm. Our experimental results demonstrate a promising preliminary result on detecting yellow number plates in terms of detection speed and robustness, which shows the feasibility of the proposed method.

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http://hdl.handle.net/10453/6826