Advanced Techniques for Improved Bangladeshi Number Plate Detection and Character Recognition in Automated Parking Systems

Authors

Niaz Ashraf Khan
University of Liberal Arts Bangladesh image/svg+xml
Md. Ferdous Bin Hafiz
University of Liberal Arts Bangladesh image/svg+xml
DOI: https://doi.org/10.52549/ijeei.v12i2.5477
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Published: 30-06-2024 • Issue: Vol. 12 No. 2: June 2024 • Section: Regular paper

Abstract

This paper presents a novel technique for efficient extraction of vehicle number plates from camera-captured images and accurate recognition of Bangla characters embedded within them. With the exponential growth of vehicular traffic in densely populated regions like Bangladesh, automation becomes crucial, making vehicle plate recognition pivotal for tracking stolen vehicles and enhancing traffic control measures. Leveraging conventional computer vision and image processing techniques, our proposed system incorporates specific features inherent to Bangladeshi number plates, thus enhancing recognition accuracy. Our application makes use of the OpenCV library to underscore the strength of the algorithm, which has been confirmed through real-time testing across different weather conditions and varying image qualities. The results show a remarkable accuracy rate of 92.3%, affirming our technique's reliability in vehicle number plate detection and character recognition. Moreover, the integration with MySQL database and Arduino UNO enables real-time application in automated parking systems, offering seamless entry procedures and accurate billing, thus addressing critical concerns in modern transportation management systems. Our algorithm not only enhances security measures but also streamlines parking facility management, contributing to safer and more efficient urban mobility solutions.
Keywords: Image processing Number plate; Arduino; Smart parking; MySQL

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Author Biographies

Niaz Ashraf Khan
Niaz Ashraf Khan is a dedicated academic professional with over 5 years of experience in the field of Computer Science and Engineering. Currently serving as a Lecturer at the Department of Computer Science and Engineering at the University of Liberal Arts Bangladesh, Niaz holds a Master's degree in Computer Science and Engineering from North South University, Dhaka, Bangladesh, along with a Bachelor's degree from the same institution. his research interests lie in the intersection of Sound Signal Processing, NLP, machine learning, and deep learning.
Md. Ferdous Bin Hafiz
Md. Ferdous Bin Hafiz is working at University of Liberal Arts Bangladesh as a Lecturer in the Department of Computer Science and Engineering. He completed his BSc. in Computer Science and Information Technology from Islamic University of Technology (IUT), Bangladesh. He obtained Master of Information Technology degree from Charles Sturt University, Australia. He has worked as a full-time lecturer for almost four years (two years at Northern University Bangladesh, one year and eight months in East Delta University, Chattogram). His research interests lie in the area of data science, machine learning and cyber security.

How to Cite

[1]
N. A. Khan and M. F. Bin Hafiz, “Advanced Techniques for Improved Bangladeshi Number Plate Detection and Character Recognition in Automated Parking Systems”, IJEEI, vol. 12, no. 2, pp. 444–454, Jun. 2024, doi: 10.52549/ijeei.v12i2.5477.