Automated Recognition of Uzbekistan Automobile License Plates: A Robust ANPR System

Authors

  • Asrorbek Eraliev Turin Polytechnic University in Tashkent
  • Jaloliddin Yusupov Turin Polytechnic University in Tashkent

Keywords:

ANPR, Uzbekistan, image processing

Abstract

In today’s modern world, Automatic Number Plate Recognition (ANPR) systems play a pivotal role in various applications, including law enforcement, traffic management, and security. This paper presents a comprehensive ANPR system specifically tailored for recognizing Uzbekistan automobile plate numbers. The developed model integrates advanced image processing and Optical Character Recognition (OCR) techniques to achieve accurate and efficient license plate recognition specifically the Uzbekistan automobile plate numbers. The system’s versatility is demonstrated through successful testing on static images and live video feeds, showcasing its potential for widespread deployment.

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Published

2024-06-27

How to Cite

Eraliev, A., & Yusupov, J. (2024). Automated Recognition of Uzbekistan Automobile License Plates: A Robust ANPR System. Science and Education, 5(6), 51–60. Retrieved from https://openscience.uz/index.php/sciedu/article/view/7071

Issue

Section

Technical Sciences