• Purva Nalat
• Vivek Niwane
• Sujata Patil
• Rucha Sarwade
• Vipul Pawar

In this methodology, the Automatic Fake Currency Recognition System is intended to recognize fake paper money to check whether it is real or unique. The current fake issue because of demonetization influences the financial framework and different fields. Another methodology of Convolution Neural Network towards the distinguishing proof of phony money notes through their pictures is analyzed in this approach which is nearly better compared to past picture handling strategies. This technique depends on Deep Learning, which has seen enormous outcomes in picture characterization assignments lately. This strategy can help the two individuals and machines in distinguishing a phony cash note progressively through a picture of something very similar. The Accuracy of the proposed framework is assessed utilizing precision.

Convolutional Neural Network, Counterfeit, Demonetization, Image processing, Deep learning, Vgg16, Automatic detection.

"Fake Indian Currency detection using Deep learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.385-395, August-2022, Available :http://www.jetir.org/papers/JETIRFP06067.pdf

"Fake Indian Currency detection using Deep learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. pp385-395, August-2022, Available at : http://www.jetir.org/papers/JETIRFP06067.pdf