Paper Title

Automatic Number Plate Recognition System Using Deep Learning

Article Identifiers

Registration ID: IJNRD_190987

Published ID: IJNRD2304361

DOI: Click Here to Get

Authors

Bhushan Agashe , Girish Zarbade , Gaurav Chopra , Saurabh Borghare , Supriya Sawwashere

Keywords

Number Plate detection, Number plate recognition system, Character segmentation, Character recognition, , CNN, Deep Learning, Yolo algorithm.

Abstract

Automatic number plate recognition (ANPR) is one of the intelligent transportation methods that provides a safe medium of transportation and monitoring planning. It is used by many two-wheeler vehicles as well as four-wheeler vehicles to enhance traffic controlling, routing, parking system, toll compendium, governance, and insuring highway law. ANPR is one of the smart transportation methods that provides a safe medium of transportation and monitoring planning. In order for us to be able to identify and recognize number plates, numerous methods and algorithms have been devised. This study demonstrates several different approaches to deep learning that can be used to recognise and identify number plates. This system is composed of three istinct components: the detection of licence plates, the segmentation of the image, and the recognition of characters. The Yolo approach is utilised in the system that we have developed for the detection of licence plates. After that, various filters are applied, and finally, the characters are segmented. After all of the characters have been segmented, the Convolutional Neural Network is utilised to recognize them.

How To Cite (APA)

Bhushan Agashe, Girish Zarbade, Gaurav Chopra , Saurabh Borghare , & Supriya Sawwashere (April-2023). Automatic Number Plate Recognition System Using Deep Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), d432-d437. https://ijnrd.org/papers/IJNRD2304361.pdf

Issue

Volume 8 Issue 4, April-2023

Pages : d432-d437

Other Publication Details

Paper Reg. ID: IJNRD_190987

Published Paper Id: IJNRD2304361

Downloads: 000121991

Research Area: Engineering

Country: Nagpur, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304361.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304361

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

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