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Robust Vietnam’s Motorcycle License Plate Detection and Recognition Using Deep Learning Model

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Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications (FDSE 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1925))

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Abstract

Nowadays, driving fast is an emergency state in many countries in the world and Vietnam in particular, and the consequence is really cruel when an accident occurs. Therefore, it is very important to control the speed of vehicles. Motorcycle license plate recognition (MLPR) is one of many methods. If any motorcycle drives above the speed limit on the road that has a speed camera, a ticket will be sent to your living address. This research proposes a method that can automatically detect license plates (LP) and extract their data. The highest mAP achieved after three hundred epochs is 93% with Yolov8. There are three stages to extracting the LP’s data, the first is detecting the motorcycle, the second is detecting the LP in the motorcycle’s bounding box, and the third is LP recognition using Yolov8 also.

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Acknowledgments

The authors would like to thank Eastern International University (EIU) Vietnam for funding this research.

Author information

Authors and Affiliations

  1. Bosch Global Software Technologies Company Limited, Ho Chi Minh city, Vietnam

    Duc Hoa Le

  2. School of Computing and Information Technology, Eastern International University, Thu Dau Mot, Vietnam

    Debarshi Mazumder & Vinh Dinh Nguyen

  3. Department of Software Engineering, FPT University Can Tho City, Can Tho, Vietnam

    Luyl-Da Quach

  4. Department of Computer Science and Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India

    Shreya Banerjee

Authors
  1. Duc Hoa Le
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  2. Debarshi Mazumder
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  3. Luyl-Da Quach
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  4. Shreya Banerjee
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  5. Vinh Dinh Nguyen
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Corresponding authors

Correspondence to Shreya Banerjee or Vinh Dinh Nguyen .

Editor information

Editors and Affiliations

  1. Ho Chi Minh City University of Industry and Trade, Ho Chi Minh City, Vietnam

    Tran Khanh Dang

  2. Johannes Kepler University of Linz, Linz, Austria

    Josef Küng

  3. Sungkyunkwan University, Suwon-si, Korea (Republic of)

    Tai M. Chung

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Le, D.H., Mazumder, D., Quach, LD., Banerjee, S., Nguyen, V.D. (2023). Robust Vietnam’s Motorcycle License Plate Detection and Recognition Using Deep Learning Model. In: Dang, T.K., Küng, J., Chung, T.M. (eds) Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. FDSE 2023. Communications in Computer and Information Science, vol 1925. Springer, Singapore. https://doi.org/10.1007/978-981-99-8296-7_5

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  • DOI: https://doi.org/10.1007/978-981-99-8296-7_5

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  • Online ISBN: 978-981-99-8296-7

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