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.
PSYLLOS Apostolos;
ANAGNOSTOPOULOS C. N.;
KAYAFAS E.;
2010-12-02
ELSEVIER SCIENCE BV
JRC60039
0920-5489,
http://dx.doi.org/10.1016/j.csi.2010.06.005,
https://publications.jrc.ec.europa.eu/repository/handle/JRC60039,
10.1016/j.csi.2010.06.005,
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