UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 11
November-2022
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2211537


Registration ID:
505061

Page Number

f297-f301

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Title

Fake Currency Detection using Deep Learning

Abstract

In this method, the banknote detection system detects counterfeit banknotes is intended to detect and verify whether it is genuine or unique. The current problem of fakes caused by demonization is affecting the financial framework and various fields. Another method used by convolutional neural networks to identify counterfeit banknotes by image is analyzed in this approach. This is almost superior compared to previous image processing strategies. This technique is based on deep learning and has recently achieved great results in image characterization. This strategy helps both humans and a machine to gradually distinguish between counterfeit and very similar bills by means of images.

Key Words

Convolutional Neural Networks, Counterfeit, Demonetization, Image Processing, Deep Learning, Vgg16, Automatic detection

Cite This Article

"Fake Currency Detection using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 11, page no.f297-f301, November-2022, Available :http://www.jetir.org/papers/JETIR2211537.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

"Fake Currency Detection using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 11, page no. ppf297-f301, November-2022, Available at : http://www.jetir.org/papers/JETIR2211537.pdf

Publication Details

Published Paper ID: JETIR2211537
Registration ID: 505061
Published In: Volume 9 | Issue 11 | Year November-2022
DOI (Digital Object Identifier):
Page No: f297-f301
Country: Pune, MAHARASHTRA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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