Implementation of convolutional neural networks for licence plate recognition application
With the rapid development of traffic management,smart city and other fields,the license plate recognition technology has gradually become a key technology.The convolutional neural network,as a powerful image processing and feature extraction method,is widely used in the field of license plate recognition.Meanwhile,this study also uses machine learning,character segmentation and other techniques to improve the efficiency and accuracy of licence plate recognition.The system covers license plate images in various situations and performs sophisticated preprocessing of the images.For license plate classification and recognition,besides using character segmentation and keyword recognition techniques,a targeted convolutional neural network model is designed and trained.The recognition accuracy of model is evaluated after the multiple sets of comparison experiments.The convolutional neural network is applied to vehicle recognition in intelligent parking lots in this study,which has good recognition accuracy and certain practicality and value.
万方数据
维普
