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It is hard to recognize similar characters of a license plate,so a new method based on deep learning was proposed to extract features and recognize similar characters.Firstly,this method is to normalize the character images,and then the normalized images wil be regarded as input.We built five-layers architecture of deep network and extracted similar characters featured in representing from low-level to high-level.The convolution function which is sensitive to character edge is adopted,so that it can analyze the local differences of similar characters.We compared this method with support vector machine(SVM)in the experiments.The results show that the accuracy rate of the proposed method increases 5%.

基于深度学习的车牌相似字符识别 (Similar Character Recognition of License Plates Based on Deep Learning).