期刊
COMPUTER STANDARDS & INTERFACES
卷 33, 期 2, 页码 142-151出版社
ELSEVIER
DOI: 10.1016/j.csi.2010.06.005
关键词
Vehicle; Recognition; Image; Measurement
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. (C) 2010 Elsevier B.V. All rights reserved.
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