[Project] End-to-End Real-Time ALPR System

January 2019 - September 2021

Affiliation: Research Software Engineer at GSTP, Rasht, Iran

Target Audience: Traffic Law Enforcement, Smart Toll Booths, & Secured Parking Systems, Rasht, Iran

Project Ecosystem: GitHub | Dataset | Paper#1 | Paper#2 | Paper#3 | Paper#4

  • Robust End-to-End License Plate Recognition: production-ready Intelligent Transportation asset comprising a high-speed ALPR system.
  • Open-Source Dataset: the largest specialized open-source dataset for Persian alphanumeric OCR with 83,000+ instances.
  • Linguistic Nuance Localization: tuned to recognize non-standard variations, syntax arrangements, and individual alphanumeric properties unique to Iranian state vehicle identification codes.
  • 💡 Stack: Python, OpenCV, YOLO, Keras, TensorFlow
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, 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
A. Tourani, S. Soroori, A. Shahbahrami, S. Khazaee, 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
A. Tourani, S. Soroori, A. Shahbahrami, and A. Akoushideh, "Iranis: A Large-scale Dataset of Iranian Vehicles License Plate Characters," 5th International Conference on Pattern Recognition and Image Analysis (IPRIA), pp. 1-5, Kashan, Iran, 2021.
DOI: 10.1109/IPRIA53572.2021.9483461