The existing chief methods of vehicle recognition is introduced in this paper, a new approach is presented to solve
the shortcoming based on the actual situation of criminal technology. We first detect the edge with improved PCNN, and
then the four coefficients are designed to represent the feature image. Finally, a BP neural network is constructed to
classify the car types automatically. Expermiental results show that the proposed vehicle recognition is fast, simple and
effective.
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