Vehicle model recognition from frontal view image measurements

Psyllos, A; Anagnostopoulos, CN; Kayafas, E

dc.contributor.author	Psyllos, A	en
dc.contributor.author	Anagnostopoulos, CN	en
dc.contributor.author	Kayafas, E	en
dc.date.accessioned	2014-03-01T02:47:31Z
dc.date.available	2014-03-01T02:47:31Z
dc.date.issued	2011	en
dc.identifier.issn	0920-5489	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33191
dc.subject	Image	en
dc.subject	Measurement	en
dc.subject	Recognition	en
dc.subject	Vehicle	en
dc.subject.classification	Computer Science, Hardware & Architecture	en
dc.subject.classification	Computer Science, Software Engineering	en
dc.subject.other	Color recognition	en
dc.subject.other	Fast processing time	en
dc.subject.other	High-performance vehicles	en
dc.subject.other	Image	en
dc.subject.other	Image measurements	en
dc.subject.other	License plate recognition	en
dc.subject.other	Model recognition	en
dc.subject.other	Phase congruency	en
dc.subject.other	Probabilistic neural networks	en
dc.subject.other	Real-time application	en
dc.subject.other	Recognition	en
dc.subject.other	Recognition rates	en
dc.subject.other	Symmetry axis	en
dc.subject.other	Vehicle manufacturers	en
dc.subject.other	Vehicle model	en
dc.subject.other	Image processing	en
dc.subject.other	License plates (automobile)	en
dc.subject.other	Neural networks	en
dc.subject.other	Vehicles	en
dc.subject.other	Optical character recognition	en
dc.title	Vehicle model recognition from frontal view image measurements	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1016/j.csi.2010.06.005	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.csi.2010.06.005	en
heal.language	English	en
heal.publicationDate	2011	en
heal.abstract	This paper deals with a novel vehicle manufacturer and model recognition scheme, which is enhanced by color recognition for more robust results. A probabilistic neural network is assessed as a classifier and it is demonstrated that relatively simple image processing measurements can be used to obtain high performance vehicle authentication. The proposed system is assisted by a previously developed license plate recognition, a symmetry axis detector and an image phase congruency calculation modules. The reported results indicate a high recognition rate and a fast processing time, making the system suitable for real-time applications. (C) 2010 Elsevier B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Computer Standards and Interfaces	en
dc.identifier.doi	10.1016/j.csi.2010.06.005	en
dc.identifier.isi	ISI:000285947000006	en
dc.identifier.volume	33	en
dc.identifier.issue	2	en
dc.identifier.spage	142	en
dc.identifier.epage	151	en