Research of Recognition of Digital Characters on Vehicle License Based on Caffe Deep Learning Framework

Abstract:

In some license plate character recognition occasions, strong noises such as uneven cutting，strong illumination contrast and occlusion are inevitable. To solve this problem effectively, a character recognition algorithm based on Caffe deep learning framework was proposed in this paper. The convolutional neural network was built in the Caffe framework, and the network parameters were trained to obtain a network structure with high accuracy and robustness. Experiment results showed that the proposed algorithm has obvious advantages, the average recognition rate was about 5% higher when compared with the traditional digital character recognition method. And when there are strong noise pollution exists, the recognition results are better