With the development of the economy and the surge in car ownership, the\nsale of used cars has been welcomed by more and more people, and the information\nof the vehicle condition is the focus information of them. The\nframe number is a unique number used in the vehicle, and by identifying it\ncan quickly find out the vehicle models and manufacturers. The traditional\ncharacter recognition method has the problem of complex feature extraction,\nand the convolutional neural network has unique advantages in processing\ntwo-dimensional images. This paper analyzed the key techniques of convolutional\nneural networks compared with traditional neural networks, and proposed\nimproved methods for key technologies, thus increasing the recognition\nof characters and applying them to the recognition of frame number\ncharacters.
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