Authentication In Atm/Itm Machines Using Iris Recognition Biometrics

Abstract

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