Deep Learning-based Vehicle ALPR
Project Card
An efficient end-to-end deep learning-based vehicle Automatic License Plate Detection and Recognition (ALPR) system. The system is based on the YOLOv3 algorithm and utilizes the PyTorch framework. It is capable of detecting and recognizing Iranian license plates and Persian (Farsi) characters in real-time. The work was funded by Guilan Science and Technology Park and demanded for real-world usage. The code is publicly available and the results were published in the papers referenced below:
A. Tourani, A. Shahbahrami, S. Soroori, S. Khazaee, and C. Y. Suen, "A Robust Deep Learning Approach for Automatic Iranian Vehicle License Plate Detection and Recognition for Surveillance Systems," IEEE Access, vol. 8, pp. 201317-201330, 2020, DOI: 10.1109/ACCESS.2020.3035992.
S. Khazaee, A. Tourani, S. Soroori, A. Shahbahrami, and C. Y. Suen, "A Real-Time License Plate Detection Method Using a Deep Learning Approach," International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI), Springer Lecture Notes in Computer Science, vol. 12068, pp. 425-438, 2020, DOI: 10.1007/978-3-030-59830-3_37.
S. Khazaee, A. Tourani, S. Soroori, A. Shahbahrami, and C. Y. Suen, "An Accurate Real-Time License Plate Detection Method Based On Deep Learning Approaches," International Journal of Pattern Recognition and Artificial Intelligence, vol. 35, no. 12, p. 2160008, 2021, DOI: 10.1142/S0218001421600089.