Detection of Fake Currency

Registration ID: IJNRD_214653

Published ID: IJNRD2403027

DOI: Click Here to Get

Purva Reshmi Rajesh , Sandhya M , Swarnashree T , K.Sasikala M.E

Fake Currency Detection, Image Processing, Bag-of-Features Model, CNN

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.

Published Paper   E-Certificate

Purva Reshmi Rajesh, Sandhya M, Swarnashree T, & K.Sasikala M.E (March-2024). Detection of Fake Currency. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), a252-a256. https://ijnrd.org/papers/IJNRD2403027.pdf

Volume 9 Issue 3, March-2024

Pages : a252-a256

Paper Reg. ID: IJNRD_214653

Published Paper Id: IJNRD2403027

Downloads: 000121985

Research Area: Computer Science & Technology 

Country: Bengaluru Urban, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2403027.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403027

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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