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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM24713
Volume:
7 |
7 |
Jul 2023
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.
Right now, Fake Currency Acknowledgment System is intended to identify the fake paper cash to check whether it is phony or unique. The current fake issue due to demonetization impacts the financial framework and furthermore in other fields. Another methodology of Convolution Neural Network towards ID of phony money notes through their pictures is inspected right now is similarly better than past picture handling strategies. This technique is in light of Deep Learning, which has seen huge achievement in picture arrangement assignments lately. This method can support the two individuals and machine in recognizing a phony cash note continuously through a picture of the equivalent. The proposed framework can likewise be conveyed as an application in the cell phone which can push the general public to recognize the phony and unique cash notes. The Precision in the proposed framework can be expanded through the high number of unique and phony notes.
KEYWORDS
Publication Date
7/19/2023
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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