India is a country with several sorts of currencies and coins. There is a unique designation for every money domination, there are several identification procedures, categorization approaches, currency recognition that might also comprise bogus detection of currency. Using all approaches for digital image treatment can be accomplished. This document follows a new technique known as super-resolution that contributes to the clarity of a currency. I.e. Low - the image of resolution is transformed into an image with high resolution. The platform used here is Matlab. False notes are one of the major challenges in monetary payments. It is becoming a big barrier for a country such as India. Because of improvements in publishing, a person may quickly create counterfeit notes by using the most recent tools for hardware. It’s time-consuming and unpleasant to detect bogus notes manually therefore there’s a need for automation techniques that can effectively perform money recognition processes. Here we put our planned notion into practice there are two considered ways:
By applying hyperspectral image analysis and the second by extracting various aspects Fake and real monetary notes and we may recognize the fake note from the genuine ones by comparing them with each other.
