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Detection of False Currency through Machine Learning Algorithm

Ankush .

Abstract


A tremendous arrangement of fake cash has been printed as of late, which has harmed society enormously. Subsequently, the production of a technique to recognize false cash has become fundamental. By utilizing their picture, our proposed framework will utilize a technique to recognize fake money notes exchanged our country. Our work will offer the fundamental flexibility and similarity for most of people, as well as trustworthy precision for the identification of fake monetary standards. To make this application viable, we are utilizing the calculated relapse calculation. Utilizing an AI calculation, this work will distinguish a few critical properties in takes note of that will lay out the money note's uniqueness. This application simplifies it to detect false notes and lessens their accessibility available.

 


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References


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