Title: Vehicle model recognition from frontal view image measurements
Authors: PSYLLOS APOSTOLOSANAGNOSTOPOULOS C. N.KAYAFAS E.
Citation: COMPUTER STANDARDS & INTERFACES vol. 33 no. 2 p. 10
Publisher: ELSEVIER SCIENCE BV
Publication Year: 2011
JRC N°: JRC60039
ISSN: 0920-5489
URI: http://dx.doi.org/10.1016/j.csi.2010.06.005
http://publications.jrc.ec.europa.eu/repository/handle/JRC60039
DOI: 10.1016/j.csi.2010.06.005
Type: Articles in Journals
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.
JRC Institute:Institute for the Protection and Security of the Citizen

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