A deep learning-based pipeline system for license plate detection and recognition using YOLOv7 in complex traffic scenes

Ruizhuo Zhang; Baisong Chen; Yongjun Zhang; Tian Xia

doi:10.1117/12.2673333

13 April 2023 A deep learning-based pipeline system for license plate detection and recognition using YOLOv7 in complex traffic scenes

Ruizhuo Zhang, Baisong Chen, Yongjun Zhang, Tian Xia

Author Affiliations +

Proceedings Volume 12605, 2022 2nd Conference on High Performance Computing and Communication Engineering (HPCCE 2022); 1260505 (2023) https://doi.org/10.1117/12.2673333
Event: Second Conference on High Performance Computing and Communication Engineering, 2022, Harbin, China

Abstract

With the development of intelligent transportation systems in recent years, automatic License Plate Detection and Recognition (LPDR) for automobiles has raised significant research interests. LPDR can be applied in many fields such as in traffic management and security surveillance. There has been a lot of work done on LPDR for regular scenarios. However, rare research can be found for complex traffic scenarios, such as night scenes, where the images or videos often appear to be blurred, too dark or bright, or the distance might be too far away or too close. These situations may pose great challenges to detection and recognition. In this paper, we established an automatic pipeline system for real-time LPDR in complex traffic scenes using DeblurGANv2 for image deblurring, YOLOv7 for license plate detection, LPRNet for license plate recognition. We used the CCPD dataset as well as a synthetic license plate dataset to train our models. Our results indicate that the system works well, and the deblurring module can significantly improve the results of LPDR.

Citation Download Citation

Ruizhuo Zhang, Baisong Chen, Yongjun Zhang, and Tian Xia "A deep learning-based pipeline system for license plate detection and recognition using YOLOv7 in complex traffic scenes", Proc. SPIE 12605, 2022 2nd Conference on High Performance Computing and Communication Engineering (HPCCE 2022), 1260505 (13 April 2023); https://doi.org/10.1117/12.2673333

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KEYWORDS

Deblurring

Object detection

Deep learning

Detection and tracking algorithms

Intelligence systems

Optical character recognition

Computer vision technology

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