License plate recognition method and device for complex scenes

Abstract

The invention provides a complex scene-oriented license plate recognition method, which is used for performing license plate recognition on a to-be-detected image in a complex scene so as to recognizea character recognition result of a license plate, and is characterized by comprising the steps of S1, preprocessing the to-be-detected image to obtain a preprocessed image set; S2, building a YOLOv3license plate detection model; S3, training a YOLOv3 license plate detection model of the license plate detection training set; S4, building an end-to-end license plate recognition convolutional neural model; S5, training an end-to-end license plate recognition convolutional neural model; S6, inputting the preprocessed image set into the trained YOLOv3 target detection model to perform license plate target detection so as to obtain a license plate position; S7, processing the corresponding to-be-detected images according to the license plate positions in sequence to obtain a license plate image set; and S8, inputting the license plate image set into the trained end-to-end license plate recognition convolutional neural model to obtain a character recognition result of the license plate.

Description

technical field [0001] The invention belongs to the technical field of computer vision and artificial intelligence, and in particular relates to a license plate recognition method and device for complex scenes. Background technique [0002] License plate recognition has a very wide range of applications in real life, therefore, the study of license plate recognition has important practical significance. For example, in intelligent transportation systems and urban electronic monitoring systems, license plate recognition is the most important means of determining vehicle identities, and has a wide range of application scenarios. [0003] Before the widespread use of deep neural networks, traditional license plate recognition mainly has four technical processes: license plate detection, license plate location, character segmentation, and character recognition. These four technical processes often have a relationship between the latter and the former. License plate positioning...

AI Technical Summary

Problems solved by technology

Therefore, the accuracy of license plate recognition depends on the accuracy of each link in the entire technical process, and the error in one link will cause a large error in the recognition result.

[0004] In addition, traditional license plate recognition is difficult to achieve effective character segmentation of license plates under complex conditions such as tilt and blur in the character segmentation process, thus limiting the application of license plate recognition in complex scenarios

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