Currency and Fake Currency Detection using Machine Learning and Image Processing – An Application for Blind People using Android Studio
B Vaishak, S Hoysala, V H Pavankumar, Mohana · 2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) · 2022
Any development in technology is made with the intention of solving the difficulties in that field. One such identified problem is blind people were unable to make out the type of currency. The proposed model efficiently identifies the type of currency. The converse of this leads to the printing and scanning of currencies and releasing them into the market, which not only affects the economy but also reduces the value for money. This further causes some conflicts and a great threat to the country. Thus, a need for efficient currency and fake currency detection methods is required. Finding fake currencies is done by any ways. The proposed work identifies the currency’s originality by examining its images. The code simulated using MATLAB extracts the features of currencies. Machine learning models are used for mapping the extracted feature to its standard value, it is able to identify the fake currencies efficiently.