Fake Currency Detection

Author:

Shamini S. Sweetline,Nandhini G.,Varshini R.S.,Dharini T.

Abstract

Due to the great technological developments in the field of color printing in the past few years, it is becoming increasingly recognized that counterfeiting is a serious problem. It used to be possible and very simple for anyone to quickly prepare and print counterfeit currency notes using a computer and a laser printer at homes or places of employment. In the past, only printing houses had these facilities. The most crucial issue is now how to accurately distinguish fake currency from real currency using automatic machines. Almost all nations struggle greatly with the issue of counterfeit currency notes. But since counterfeiting has become such a pressing issue in India, it is thought to be the most serious issue there. Therefore, it is necessary to create a module that will aid in the quick and efficient recognition and detection of paper currency notes. An approach for the identification and verification of Indian currency is described in this proposed system. The authenticity of the currency will be verified using image processing methods, regardless of whether it is genuine.

Publisher

EDP Sciences

Reference10 articles.

1. Prof Chetan More,MonuKumar, Rupesh Chandra, RaushanSingh, “Fake currency Detection using Basic Python Programming and Web Framework” IRJET International Research Journal of Engineering and Technology, Volume: 07 Issue: 04 Apr 2020 ISSN: 2395-0056.

2. Patel Aakash S, “Indian Paper currency detection” International Journal for Scientific Research & Development (IJSRD), Vol. 7, Issue 06, ISSN: 2321-0613 (June 2019).

3. Ryutaro Kitagawa(2017) “Banknote portrait detection using Convolutional Neural Network (CNN)” 15th IAPR (International Conference on Machine Vision Applications), MVA 2017, ISBN (Electronic): 9784901122160.

4. J.K. Nayak, C. Majhi, A. Srivastav, A. Das, “Neural Network Approach for Indian Currency Recognition”, IEEE, INDICON (2015).

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1. Machine Learning Paradigms for Counterfeit Currency Detection: A Comprehensive Comparative Study;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03

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