A Review on Designing of Fake Currency Detection System

Abstract

The production of duplicate and fake currency has increased with a tremendous amount with the advancement in color print technology. Fake currency is a threat which cannot be easily recognized. Currency detection is a critical problem in various applications such as ATMs, vending machine and currency detection machines. With the increasing globalization of the world economy there is growing demand for accurate and reliable currency detection systems. The proposed system has practical applications in areas such as financial transactions, currency exchange and International trade. It is designed to be fast, accurate and scalable, capable of handling a wide range of currencies. Our research paper introduces a currency detection project that utilizes computer vision techniques to detect and classify banknotes. The proposed system uses image processing and machine learning algorithm to recognize the currency denomination and authenticity. The dataset for training and testing the proposed system is collected and labeled to ensure the accuracy and reliability of the system. Practical outcomes prove that this system aims high precision rates for both currency denomination and authenticity detection, making it an efficient and reliable solution for currency detection. Keywords: Currency Detection, Demonetization, Image Processing, features, System.