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Two Factor Authentications for Cash Machines

A. Tejaswini, Keerthana K, supraja Laxmi

Abstract


There are no boundaries to technology, which continues to reach into all facets of our daily regimen. The world will look and function decidedly different in 10 years compared to today, and while we don't know exactly what life will be like, we know that banking at ATMs is one area that will see plenty of changes. There is an urgent need for improving security in banking region. ATM systems today use no more than an access card and PIN for identity verification. The recent progress in biometric identification techniques, including finger printing, retina scanning, and facial recognition has made a great efforts to rescue the unsafe situation at the ATM. This research paper investigates a systematic approach for authenticating clients by two factors, namely password, and biometrics. Biometrics is the identification of humans by their characteristics or traits. A physiological biometric would identify by one's voice, Face, hand print or behaviour. An ATM model that is more reliable in providing security by using facial recognition software is proposed

Keywords


User authentication, Face Recognition security and ATM

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