Automatic Number Plate Recognition (ALPR) is a system for automatically identifying the license plates of any vehicle. This process is important for tracking, ticketing, and any billing system, among other things. With the use of information and communication technology (ICT), all systems are being automated, including the vehicle tracking system. This study proposes a hybrid method for detecting license plates using characters from them. Our captured image information was used for the recognition procedure in Bangladeshi vehicles, which is the topic of this study. Here, for license plate detection, the YOLO model was used where 81% was correctly predicted. And then, for license plate segmentation, Otsu's Thresholding was used and eventually, for character recognition, the CNN model was applied. This model will allow the vehicle's automated license plate detection system to avoid any misuse.
@article{arxiv.2109.00906,
title = {An Automated Approach for the Recognition of Bengali License Plates},
author = {Md Abdullah Al Nasim and Atiqul Islam Chowdhury and Jannatun Naeem Muna and Faisal Muhammad Shah},
journal= {arXiv preprint arXiv:2109.00906},
year = {2021}
}
Comments
4 pages, 7 figures, 1 table, 2021 International Conference on Electronics, Communications and Information Technology (ICECIT)