Vehicle model recognition from frontal view image measurements

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,