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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM34859
Volume:
8 |
5 |
May 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The paper presents a new approach to detecting counterfeit Indian currency, based on Convolution Neural Networks, which is superior to previous image processing techniques. The method uses Deep Learning, a technique that has been successful in image classification tasks. The system can help both humans and machines identify fake currency notes in real time. The system can be deployed as an application on smartphones, helping society distinguish between fake and original currency notes. The accuracy of the system can be increased by using original fake notes and images from childrenâs bank Churan labels. Â Machine learning, image processing techniques, and tools like Support Vector Machine (SVM) and K-nearest Neighbour (KNN) are utilized to identify fake currency notes.
KEYWORDS
Publication Date
5/28/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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