A License Plate Recognition System for Severe Tilt Angles Using Mask R-CNN

研究成果: 書貢獻/報告類型會議貢獻

1 引文 斯高帕斯(Scopus)

摘要

In the past few years, license plate recognition systems have been widely used in parking lots. In order to identify license plates easily, traditional license plate recognition systems used in the parking lot have a fixed light source and a shooting angle. For particularly tilting angles, such as license plate images taken with super wide-Angle lenses or fisheye lenses, the deformation of the license plate can be particularly severe, resulting in poor recognition of traditional license plate recognition systems. In this paper, we propose a three-stage license plate recognition system based on Mask R-CNN that can be used for various shooting angles and more oblique images. Experimental results show that the proposed architecture can identify license plates with bevel angles over 0∼60 degrees and achieve mAP rates of up to 91%. Compared with the approach using YOLOv2 model, the proposed method with Mask R-CNN has made significant progress in identifying characters that are inclined above 45 degrees. The experimental results also show that the proposed method is superior to other methods in the open Taiwan license plate data set (called AOLP data set).

原文英語
主出版物標題Proceedings - 2019 International Conference on Advanced Mechatronic Systems, ICAMechS 2019
發行者IEEE Computer Society
頁面229-234
頁數6
ISBN(電子)9781728134802
DOIs
出版狀態已發佈 - 2019 八月
事件2019 International Conference on Advanced Mechatronic Systems, ICAMechS 2019 - Kusatsu, Shiga, 日本
持續時間: 2019 八月 262019 八月 28

出版系列

名字International Conference on Advanced Mechatronic Systems, ICAMechS
2019-August
ISSN(列印)2325-0682
ISSN(電子)2325-0690

會議

會議2019 International Conference on Advanced Mechatronic Systems, ICAMechS 2019
國家日本
城市Kusatsu, Shiga
期間19/8/2619/8/28

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering

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  • 引用此

    Lin, C. H., & Li, Y. (2019). A License Plate Recognition System for Severe Tilt Angles Using Mask R-CNN. 於 Proceedings - 2019 International Conference on Advanced Mechatronic Systems, ICAMechS 2019 (頁 229-234). [8861691] (International Conference on Advanced Mechatronic Systems, ICAMechS; 卷 2019-August). IEEE Computer Society. https://doi.org/10.1109/ICAMechS.2019.8861691