Aiming at the problem that the traditional license plate recognition method was difficult to rec-ognize license plate information quickly and accurately under the scene of fuzzy license plate and complex illu-mination,a fast license plate recognition method based on improved convolutional recurrent neural network(CRNN)was proposed.By introducing ResNet with residual into CRNN to improve the feature extraction abili-ty of the network,this new method was named CRNN ResNet license plate text recognition algorithm.This method only needed 0.012 s to recognize a license plate image,and the recognition accuracy reached 98.5%on the open data set of Chinese City Parking Dataset(CCPD).
万方数据
