License Plate Recognition Based on CNN

An improved CNN neural network based on GRU sequence model license plate recognition technology is mentioned in this article. The network realizes the recognition of the 7-digit string of Chinese blue license plates and yellow license plates, and has the advantages of higher recognition accuracy and faster recognition speed. The specially labeled license plate data set is input into the built neural network for training and the model is obtained. Interact with the front-end user through the GUI interface to obtain the recognition result. This paper specifically analyzes the license plate location detection method, describes in detail the CNN neural network construction process, and the trained neural network model analyzes the results of license plate recognition, and finally summarizes and looks forward to the improvement of the recognition system.