Research on the character recognition for Chinese license plate based on CNN

In the process of Chinese license plate recognition, the main problems are as follows, such as the feature extraction method is cumbersome and inefficient, the Chinese character recognition rate is low. This paper studies the license plate technology in depth based on convolution neural network. In order to solve the problem of low recognition rate of Chinese characters, we use continuous convolution layers to convolve the image and extract more characters. Experiments show that the proposed method can more effectively extract the license plate characteristics, improve the license plate recognition rate.