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)
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.
"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
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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
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