• Madhura M K
• Srinivasulu M
• Neha Nagaraj
• Umme Hani Khanum
• Noor E Ain

The livelihood of the populace and the nation's economy are now seriously threatened by counterfeiting of money. Although there are fake cash detectors, and are only used in banks and corporate offices, leaving the general public and small companies at risk. In order to detect and invalidate fraudulent Indian currency, will develop a software-based system in this project using cutting-edge image processing and computer vision techniques. First, will analyse the many security characteristics of Indian currency. This currency authentication system was created entirely in the Jupyter Notebook environment using the Python programming language. With the help of a real-time photograph, our project will identify Indian banknotes. The history of our issue is the use of image processing technologies to check the legitimacy of money notes. The software analyses note properties to identify counterfeit money. Accuracy and speed are two metrics that can be used to assess this software's success rate.

Currency authentication, Replicating currencies

"Fake currency identification using CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.h707-h710, July-2023, Available :http://www.jetir.org/papers/JETIR2307784.pdf

"Fake currency identification using CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. pph707-h710, July-2023, Available at : http://www.jetir.org/papers/JETIR2307784.pdf