International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 6
November-December 2024

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Real-Time Vehicle License Plate Recognition (VLPR) Using Deep CNN

Author(s) Md. Hadiuzzaman Bappy, Kamrul Hasan Talukder
Country Bangladesh
Abstract This research introduces a dual-component Vehicle License Plate Recognition (VLPR) system designed to improve the accuracy and efficiency of automated traffic monitoring systems. The first component employs YOLOv8 for real-time detection of vehicle license plates, capitalizing on its advanced capabilities to effectively manage variations in environmental conditions and plate obfuscation. The second component, a custom Convolutional Neural Network (CNN), is optimized for high-precision character recognition from the detected plates. Trained on a dataset of over 33,000 images, the system achieves a detection accuracy of 97.30% and a character recognition accuracy of 98.10%, demonstrating its robustness and effectiveness. This integrated approach not only enhances the reliability of automated traffic monitoring but also holds significant promise for applications requiring high accuracy and real-time data processing across various operational settings.
Keywords YOLOv8, Convolutional Neural Network (CNN), Vehicle License Plate Recognition (VLPR), Real-time Processing, Accuracy
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-06-17
Cite This Real-Time Vehicle License Plate Recognition (VLPR) Using Deep CNN - Md. Hadiuzzaman Bappy, Kamrul Hasan Talukder - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.20897
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.20897
Short DOI https://doi.org/gt2cb4
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 6 Isu 6Cover Page Vol 6 Isu 5Cover Page Vol 6 Isu 4

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9898-5948-55 editor@ijfmr.com