Identification of fake currency
K. Sivanagi Reddy, Bhimavarapu. Jyothika, R. Shravya, G. AathmajaSai · IET conference proceedings. · 2023
Currency fraud now possess a serious risk to both people's livelihoods and the nation's economy. Due to im-provements, in printing and scanning technology, currency duplication is still a growing worry for governments. Although banks have many note-detecting systems; but are expensive and frequently wrong. This problem has the potential to be considerably solved by the disciplines of machine vision, neural networks, and image processing. Although there are fake cash detectors, they are only used in banks and corporate offices, leaving the general public and small companies at risk. In order To detect and invalidate fraudulent Indian currency, we will develop a software-based system in this project using cutting-edge image processing and computer vision techniques. First, we will analyze the many security character-istics of Indian currency. This currency authentication system was created entirely in the Jupyter Notebook environment using the Python programming language.