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An approach for traffic sign recognition

Author

Listed:
  • Dat Tien Nguyen

    (Ho Chi Minh City Open University, Ho Chi Minh City, Vietnam)

  • Quan Minh Vu

    (Ho Chi Minh City Open University, Ho Chi Minh City, Vietnam)

  • Thanh Hoang Nguyen

    (Ho Chi Minh City Open University, Ho Chi Minh City, Vietnam)

  • Khai Quang Ho

    (Ho Chi Minh City Open University, Ho Chi Minh City, Vietnam)

  • Phuong Quang Luu

    (Ho Chi Minh City Open University, Ho Chi Minh City, Vietnam)

  • Thanh Huu Duong

    (Ho Chi Minh City Open University, Ho Chi Minh City, Vietnam)

Abstract

This article presents a model for detecting and recognizing traffic signs based on the YOLO (You Only Look Once) algorithm. Our system can detect traffic signs in real-world scenarios, including prohibitory, stop, no entry, speed limit, regulatory, and hazardous signs. However, there are still some cases where successful recognition is not achieved. Experiments were conducted on a dataset of 29,632 images, yielding % recognition accuracy of 86.8%. The system performs well in practical environments with relatively high accuracy, yet some errors persist during detection.

Suggested Citation

  • Dat Tien Nguyen & Quan Minh Vu & Thanh Hoang Nguyen & Khai Quang Ho & Phuong Quang Luu & Thanh Huu Duong, 2025. "An approach for traffic sign recognition," HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ENGINEERING AND TECHNOLOGY, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, vol. 15(1), pages 58-67.
    • Handle: RePEc:bjw:techen:v:15:y:2025:i:1:p:58-67
    DOI: 10.46223/HCMCOUJS.tech.en.15.1.3350.2025
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