Research on License Plate Recognition System Based on Deep Learning
To address the current limitations of license plate recognition due to environmental factors such as lighting,angle,and location,research on license plate recognition based on deep learning is constantly deepening.Before li-cense plate localization,the license plate image was preprocessed with grayscale processing,eliminating noise by mean filtering,edge detection,binarization,and multiple features such as geometry and color were combined for lo-calization;Then vertical projection method was used to find the boundary area of each character and perform character segmentation one by one;Finally,a convolutional neural network was created to construct a training and testing set.Through deep learning,license plate characters were recognized and output,and tested and validated on MATLAB with an accuracy of 98.6%.
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