Authentication in ATM/ITM Machines using Iris Recognition Biometrics

Abstract

Biometric identification is a method that encompasses many types of authentication systems, including iris features and characteristics. The behaviour of the tiny pixels in a person’s iris and pupil can be extracted and uniquely used for authentication in ATM/ITM machines. In this study, achieving higher accuracy and success is the goal. We have found out that the Daugman algorithm can enable the implementation of iris biometrics in a faster and more accurate way compared to other algorithms. This will allow ATM/ITM users can comfortably access their accounts and make transactions without the need for a card or PIN, while authenticating their identity in the machines using their iris biometrics. Such a system can also be used to authenticate national ID entitlement in programmes. Furthermore, such a system can enhance the accessibility of social benefits, subsidies, and other entitlements while minimizing fraudulent activities [1]