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.
