학술논문
License Plate Detection and Recognition Using Deep Learning in Unconstrained Scenarios
Document Type
Conference
Source
2023 IEEE International Conference on Electrical, Automation and Computer Engineering (ICEACE) Electrical, Automation and Computer Engineering (ICEACE), 2023 IEEE International Conference on. :1745-1749 Dec, 2023
Subject
Language
Abstract
License Plate Recognition was widely studied due to its extensive applications. Multi scenarios limitation and low recognition accuracy are two inherent problems of LPR. In this paper, an end-to-end LDPR network is proposed to address the former problem. We divide the recognition problem into Plate Detection and text recognition process. By using YoLov4 detection network the influence undertaken by scenarios change has been solved. In addition, a Convolutional Block Attention Module is employed in the YoLov4 Network to improve the recognition accuracy. A SRN based network is then added in to the network to improve the recognition rate of the LDPR systems. Experiment results demonstrate that the proposed algorithm outperforms most of the existing plate recognition algorithms.