Aiming at problems of excessive calculation and complex feature extraction of existing vehicle model recognition methods

a vehicle model recognition method is proposed based on deep convolutional neural network（ DCNN）. With the aid of deep learning

improvement is made on classic convolutional neural network and DCNN made of multiple convolutional layers and time sampling layers is gained. According to classification results of the five models

it shows that this method has obvious increase than traditional methods in terms of recognition rates.The experiments also study on influences of number of network layer

size of convolutional kernel

characteristic dimension on performance of DCNN and recognition rates.