• S.Suneetha
• T.SaiMeenakshi
• V.SivaSaranMaruthi
• P.U.S.LakshmiDeepak
• G.VenkataManiManas

This study proposes a neural network classification technique for determining if currency notes are fake or original. In recent years, researchers have focused extensively on developing methods for the automatic detection and identification of Indian rupee notes owing to their many potential uses. It is shown that the Indian monetary system may be segmented using a set of distinctive non discriminatory characteristics. To begin, we collect the picture by use of a basic flat scanner set at a certain dpi and a predetermined size. From each musical note, its predominate hue and aspect ratio are extracted. Next, we cut off the section of the bill that had the serial number, security features, and other features that made it special. It is a method for determining the denomination of paper cash and matching it. The circulation of counterfeit currency is a major problem that has an effect on the economies of many countries, including India. Using the money's material attributes or its physical look are both viable options. This study proposes a new technique for valuing Indian currency that is contingent on the currency's physical manifestations. The security features of Indian currency, such as the security string, intaglio printing (the RBI logo), and the ID mark, have been widely used across the country, and picture preparation calculations have been obtained to extract these features. The final score of a large number of three highlights has been blended to distinguish between real and counterfeit monetary forms, making the framework more robust and accurate. The suggested framework has a perfect rate of correctly detecting counterfeit money. The mean square error, a measure of the quality of the presentation of the proposed framework, is often taken to be no more than 1%. It could also reach average people who have to deal with the problem of authenticating currency when presented with counterfeits.

Intaglio Printing, DWT, GLC, RBI

"DETECTION OF FAKE CURRENCY USING IMAGE PROCESSING AND NEURAL NETWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.c638-c642, March-2023, Available :http://www.jetir.org/papers/JETIR2303272.pdf

"DETECTION OF FAKE CURRENCY USING IMAGE PROCESSING AND NEURAL NETWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppc638-c642, March-2023, Available at : http://www.jetir.org/papers/JETIR2303272.pdf