• Tabiya Manzoor Beigh
• J. Arivazagan
• Dr. V. Prasanna Venkatesan

Flow of money either virtually or physically creates opportunities for malicious intenders to interrupt the normal functioning of the financial system. Due to the technological revolution, the widespread availability of printing technologies and duplication methods lead to the production of counterfeit notes. The production of fake notes hampers the proper functioning of the financial system. It greatly affects the economy of the nation and eventually the common man. This paper presents a supervised machine learning algorithm for the detection of counterfeit notes. Simulation results certify that the machine learning model used provided accuracy better than the traditional methods.

machine learning, classification, supervised learning

"COUNTERFEIT CURRENCY DETECTION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.d356-d358, March-2023, Available :http://www.jetir.org/papers/JETIR2303341.pdf

"COUNTERFEIT CURRENCY DETECTION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppd356-d358, March-2023, Available at : http://www.jetir.org/papers/JETIR2303341.pdf