License Plate Recognition Based on Convolutional Neural Networks
In order to meet the demand for traffic management and safety monitoring,aiming at the important role of license plate recognition technology in the intelligent transportation system.This paper aims to use convolutional neural networks to recognize car license plates.Firstly,pre-processing such as filtering and denoising is performed on the collected images,and Sobel operators are used for edge detection;Secondly,perform morphological operations on the image and use contour detection to determine the position of the license plate;then,edge detection method is adopted for character segmentation;finally,convolutional neural networks are used to recognize license plate characters.The model test results show that the accuracy of Chinese character recognition in the license plate recognition system is 91.4%,and the accuracy of jointly recognizing numbers and letters is 95.5%.
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