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|Title:||Vehicle model recognition from frontal view image measurements|
|Authors:||PSYLLOS APOSTOLOS; ANAGNOSTOPOULOS C. N.; KAYAFAS E.|
|Citation:||COMPUTER STANDARDS & INTERFACES vol. 33 no. 2 p. 10|
|Publisher:||ELSEVIER SCIENCE BV|
|Type:||Articles in periodicals and books|
|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.|
|JRC Institute:||Institute for the Protection and Security of the Citizen|
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