• Pooja Bhilare
• Saniya Wandre
• Rina Chaudhari
• Niranjan Barhate

Many countries are affected by the matter of fake notes.Indian is one among them. With the improved technology, anyone can print fake notes.When such counterfeited notes are produced and circulated,it becomes impossible for ordinary citizens to distinguish whether the money is real or fake because they differentiate according to physical appearance. Even if banks and other big organizations have automatic machines designed to identify counter feitcurrency notes, ordinary people can hardly differentiate between them. The identification involves many steps like edge detection, feature extraction, image segmentation, image acquisition, grayscale conversion, and comparison of images. The use of machine learning in counterfeit currency detection has the potential to revolutionize the way we protect our currency and financial systems from fraudulent activities.

Fake Currency Detection, Counterfeit Money Detection, Secure Transactions, Anti-Counterfeit Technology, Currency Authentication.

"Survey For Fake Currency Detection Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.j379-j382, March-2024, Available :http://www.jetir.org/papers/JETIR2403951.pdf

"Survey For Fake Currency Detection Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppj379-j382, March-2024, Available at : http://www.jetir.org/papers/JETIR2403951.pdf