A Study On Detection Of Counterfeit Money By Image Processing

Abstract

This system, known as the Currency Recognition System, is utilized all over the globe for the purpose of detecting currency fraud. One can find applications for this framework in financial frameworks, cash-monitoring devices, cash-trade frameworks, and so on. In today's technologically sophisticated world, this framework is crucial, and it ought to be simple to obtain. In this essay, we suggest a method for automatically identifying paper money using a programed we've created. Simple, reliable, and effective describe the method that was used. The methodology is divided into several sections, such as those for preparing the images, extracting the characteristics, and comparing the prepared and test pictures. The output includes the currency's denomination, whether it is a genuine note or a fake, and a conversion of the currency into the currency of another country. User-friendly and well-designed mobile software was produced. A challenging dataset with various constraints was used to determine the performance of the proposed system.