Volume 3 number 2 (03)

Original research

AUTOMATIC NUMBER PLATE RECOGNITION (ANPR) SYSTEM ENHANCING SECURITY IN BANGLADESH

Pages 83-92

DOI 10.61552/JAI.2026.02.003

ORCID Md Shawon, ORCID Sohan Molla, ORCID Sajib Nowjh, ORCID Asif Eakball Emon, ORCID Kanij Fatema


Abstract The Automatic Number Plate Recognition (ANPR) system is a crucial technology for vehicle identification, leveraging image processing and optical character recognition (OCR) to detect and read license plates automatically. With the exponential growth of vehicles, manual monitoring has become impractical, making ANPR an essential tool for traffic control, toll collection, parking management, and security surveillance. This system captures vehicle images, extracts number plates through segmentation, recognizes characters via OCR, and cross-checks data against a database for verification. Implemented and simulated in MATLAB, the ANPR system demonstrates high efficiency in real-world applications. In Bangladesh, where traffic congestion and security challenges are rising, ANPR can significantly enhance law enforcement, automated tolling, and smart city initiatives. However, challenges such as non-standardized plates and varying environmental conditions must be addressed for optimal performance. This article explores the workings, applications, and potential implementation of ANPR technology in Bangladesh, emphasizing its role in advancing transportation efficiency and security systems.

Keywords: ANPR, Traffic management, OCR, Vehicle security, Smart transportation.

Recieved: 11.04.2025. Revised: 14.06.2025. Accepted: 04.07.2025.