License plate recognition and positioning method based on deep neural network

Abstract

The invention provides a license plate recognition and positioning method based on a deep neural network, and mainly solves the problem of inaccurate license plate recognition and positioning in a complex scene in an existing algorithm. Firstly, a license plate data set meeting specific requirements of license plate detection is established; an anchor frame is generated by using a K-means clustering algorithm, a license plate detection deep convolutional neural network structure is established by combining machine learning and introducing an attention mechanism, a network model is trained by using an established license plate data set, and an Adam algorithm is used as an optimization algorithm in the training process; testing the model by adopting the detection accuracy when the cross-parallel ratio IOU is equal to 0.8 as a measurement index of algorithm performance and adopting a HyperLPR algorithm and a mathematical morphology method as a comparison algorithm. Compared with the priorart, the license plate recognition and positioning method based on the deep neural network has the advantages that a channel attention mechanism is added, so that the detection accuracy is higher, the speed is higher, and the robustness to the environment is very high.

Description

technical field [0001] The invention belongs to the field of image recognition, and in particular relates to a license plate detection method of a deep convolutional neural network, which has good license plate detection performance. Background technique [0002] In recent years, intelligent processing technology has played an important role in many fields, and intelligent transportation systems have also emerged, which has greatly improved management efficiency and saved a lot of human resources. The license plate is an important identification of the vehicle, and each vehicle has a unique "identity certificate", which provides a strong guarantee for the unified management of the vehicle. Under the requirement of efficient vehicle management, automatic collection and recognition of license plates has become an extremely important link in the entire detection process. [0003] The task of license plate recognition technology is to automatically detect the license plate area...

AI Technical Summary

Problems solved by technology

However, there are few research reports on license plate detection algorithms that jointly use deep convolution and multi-scale thinking. Aiming at the practical problem of poor detection results in the case of high intersection-over-union (IOU), an attention mechanism is introduced to integrate the overall situation. information, a new deep neural network license plate detection method is proposed

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