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Currency recognition by using image processing

2024; American Institute of Physics; Linguagem: Inglês

10.1063/5.0185828

1935-0465

Sarthak Bhardwaj, Shivam Vishwakarma, Suneel Kumar, Sagar Jaiswal, Sunandan Kumar, Gauri Katiyar,

Vehicle License Plate Recognition

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: