License plate positioning and recognition method based on YOLO model

Abstract

The invention discloses a license plate positioning and recognition method based on deep learning. An improved YOLO (You Only Look Once) algorithm and an image super-resolution technology are adoptedfor optimization, and an improved YOLO convolutional neural network and a convolutional enhanced SRCNN (Super Recurrent Neural Network) convolutional neural network are trained respectively. Firstly,an improved deep learning YOLO algorithm is adopted to locate a license plate area; a correction detector is used for correcting the detection frame; according to the method, the problem that an existing license plate positioning method cannot perform correct positioning in certain specific scenes is solved, then the enhanced convolutional neural network SRCNN model is utilized to perform super-resolution technology processing on the image of the license plate area so as to obtain the picture with higher resolution and resolution rate, and then the neural network is utilized to perform opticalcharacter recognition. According to the method, when the YOLO convolutional neural network is trained, the maxout activation function is adopted to replace the activation function of the original model, so that the fitting capability is enhanced, Meanwhile, the non-maximum suppression is improved by adjusting the threshold value, so that the screening speed of the bounding box can be effectivelyincreased. When the SRCNN convolutional neural network is trained, the size of a convolution kernel and the number of convolution layers are increased, the image processing effect can be effectively improved, and therefore the method meets the requirements for real-time performance and accuracy.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence and computer vision recognition, and in particular relates to an automatic detection and recognition method related to a deep neural network. [0002] technical background [0003] With the rapid development of the economy and the large-scale expansion of cities, transportation has become an indispensable link in contemporary society. People's increasing travel demand has prompted changes in the traffic management model. The intelligent transportation system proposed in the early days can effectively alleviate the unbalanced contradiction. The license plate recognition technology refers to automatically extracting the vehicle license plate information from the graphic data of the license plate and performing information recognition. License plate recognition technology is one of the important components of intelligent transportation systems, and plays an important role in stolen ve...

AI Technical Summary

Problems solved by technology

[0006] The problem to be solved by the present invention is that for the existing license plate recognition method based on license plate character segmentation, the license plate cannot be located in certain natural scenes such as dark and inclined, or the blurred license plate cannot be correctly segmented, which affects the license plate character recognition effect. A license plate location and recognition method based on the YOLO (You Only Look Once) model is proposed.

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