Vehicle model recognition from frontal view image measurements

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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 http://hdl.handle.net/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

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