IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.76

Issue per Year : 12

Volume Published : 9

Issue Published : 96

Article Submitted :

Article Published :

Total Authors :

Total Reviewer :

Total Countries :

Indexing Partner

Join RMS/Earn 300

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Detection of Fake Currency
Authors Name: Purva Reshmi Rajesh , Sandhya M , Swarnashree T , K.Sasikala M.E
Download E-Certificate: Download
Author Reg. ID:
IJNRD_214653
Published Paper Id: IJNRD2403027
Published In: Volume 9 Issue 3, March-2024
DOI:
Abstract: Fake currency is a big problem that affects our economic growth and it decreases the value of real money. The fake currency production has been growing erratically recently. So, to reduce the circulation of fake currency within real money, it must be detected and eradicated. Our model uses Image Processing, the Bag of Features Method, and Deep Learning. We will distinguish between real and fake currency using the above methods. Image processing is transforming an image into a digital form and performing certain operations to get useful information from it. Bag of Features is an Advanced Image Processing Technique that works by treating images as words. It serves as a bridge between Image Processing Techniques and Neural Networks. Deep learning is part of Machine Learning and is based on artificial neural networks.
Keywords: Fake Currency Detection, Image Processing, Bag-of-Features Model, CNN
Cite Article: "Detection of Fake Currency", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.a252-a256, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403027.pdf
Downloads: 00056
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD2403027
Registration ID: 214653
Published In: Volume 9 Issue 3, March-2024
DOI (Digital Object Identifier):
Page No: a252-a256
Country: Bengaluru Urban, Karnataka, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403027
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403027
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to Get DOI? DOI

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Join RMS/Earn 300

IJNRD