Design of Chinese Character Recognition Based on AlexNet Convolution Neural Network

Based on the general digital scanning of paper documents, a Chinese character recognition model is designed by using convolution neural network and image processing technology. The model is developed based on Python and TensorFlow framework, and printed Chinese character recognition is completed by using improved AlexNet convolution neural network structure. The recognition system includes data preprocessing, text area location, single character segmentation, character recognition and result output. The experimental results show that, on the premise of high recognition accuracy, the network model is small and fast recognition, and the recognition rate can basically meet the needs of practical use.