Fake Currency Detection with Machine Learning
Amala Mariyat, Anit James · Zenodo (CERN European Organization for Nuclear Research) · 2022
Abstract — One of the major crisis faced by the common people is to identify banknotes. It identifies the note which is given to the system,. All Indian notes have unique features. Indian currencies have a set of old notes and a set of new notes. So, it is difficult to identify each Indian note. Gives the system a note to identify which note it is. The input is taken using OpenCV for testing. The training dataset is a folder of a collection of images. ORB is used to find key points from the image. Then Flann(Fast Library for Approximate Nearest Neighbors) is performed approximate nearest neighbor searches. To show which image is being tested, good matches are shown through the lines in an image.