Vehicle model recognition from frontal view image measurements

Authors:
A. Psyllos;C. N. Anagnostopoulos;E. Kayafas
Affiliations:
Electrical and Computer Engineering School, National Technical University of Athens, Greece and European Commission Joint Research Centre, Institute for the Protection and Security of the Citizen, ...;Cultural Technology & Communication Dpt., University of the Aegean, Mytilene, Greece;Electrical and Computer Engineering School, National Technical University of Athens, Greece
Venue:
Computer Standards & Interfaces
Year:
2011

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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.