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The investigation of fake plate vehicles mainly relies on the traffic police verifications and public tip-offs. It is inefficient and produces very little effect. Based on above analysis, a method of recognition for fake plate vehicles is proposed which to investigate the fake plate vehicles effectively, Increase the intensity of the fight against crime. In this paper, the saliency areas of training set are detected to remove the partial background of vehicle image. SIFT descriptors are translated as "visual word" and the inputs of SVM methods for training and recognizing vehicles. The experiments show that methods in this paper can detect fake plate vehicles efficiently, and the detection precision is 84%.

A Method of Recognition for Fake Plate Vehicles