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 obtai...

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Bibliographic Details
Published in:Computer standards and interfaces 2011-02, Vol.33 (2), p.142-151
Main Authors: Psyllos, A., Anagnostopoulos, C.N., Kayafas, E.
Format: Article
Language:English
Subjects:
Detectors
Licenses
Mathematical models
Measurement
Neural networks
Recognition
Vehicle
Vehicles
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Summary: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.
ISSN:0920-5489
1872-7018
DOI:10.1016/j.csi.2010.06.005