UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 10 Issue 5
May-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2305757


Registration ID:
516196

Page Number

h488-h493

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Title

To Detect The Number Plate By Enhancing The Image

Abstract

The system called Automatic number plate recognition (ANPR) is used to read information from number plates on objects. The components of ANPR systems include image capture hardware, image processing software, and pattern recognition methods. However, the quality of the picture that is taken is extremely important for ANPR systems' accuracy. Images in real-world situations may be impacted by a variety of elements, including illumination, blur, noise, and occlusion, which can lower the image's quality and result in inaccurate recognition. Therefore, before the input picture is transferred to the ANPR system, image enhancement techniques are crucial for enhancing its quality. Numerous image improvement methods, including noise reduction, contrast enhancement, and picture restoration, have been suggested in recent years to increase the functionality of ANPR devices.This research offers a thorough analysis of the most recent image enhancement methods and how they affect the precision of ANPR systems. The testing findings show that the suggested strategies can greatly increase the ANPR systems' recognition rate. For smart cities and the Internet of Things, more study into number plate recognition, also known as number plate identification, may be helpful. using image processing techniques. Due to the exponential growth in the number of automobiles, automated systems must be used to store vehicle data for a variety of reasons. A useful approach for detecting Indian licence plates has been developed, and it is recommended. Loud sounds, inadequate illumination, unevenness, and strangely shaped licence plates are all things we can put up with.The per-processing step of this study uses a variety of image processing techniques, including morphological transformation, Gaussian smoothing, Gaussian thresholding, and the Sobel edge detection approach.An enhanced lightweight detection technique for licence plate identification in real-world scenarios was offered as the prior method was inefficient and slow.

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"To Detect The Number Plate By Enhancing The Image", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.h488-h493, May-2023, Available :http://www.jetir.org/papers/JETIR2305757.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"To Detect The Number Plate By Enhancing The Image", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pph488-h493, May-2023, Available at : http://www.jetir.org/papers/JETIR2305757.pdf

Publication Details

Published Paper ID: JETIR2305757
Registration ID: 516196
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier):
Page No: h488-h493
Country: Talegaon Dabhade,Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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