License Plate Recognition System Based on Orthometric Hopfield Network

This paper presents a novel Chinese vehicle license plate recognition method. The system is implemented on the binary scale picture platform. The whole process is divided into two sections: preprocessing and recognition. And preprocessing comprises binarization, plate localization and character segmentation. In the part of recognition, we introduce virtual nodes in Hopfield network to memorize a large number of patterns. The novel Hopfield network can memorize all the images which need be memorized. Experiment results show this system is effective.