Abstract
Character segmentation and recognition is the research hotspot of vehicle license plate recognition technology. A new method is presented in this paper. Based on the vehicle license location, the segment method of vertical projection information with prior knowledge is used to slit characters, and extract the statistical features. Then the RBF neural network is used to recognize characters with the feature vector as input. The results show that this method can recognize characters precisely and improve the ability of license plate character recognition effectively.
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