Enhanced ATM Security System using Biometrics
Because biometrics-based authentication offers several advantages over other authentication methods, there hasbeen a significant surge in the use of biometrics for user authentication in recent years. In this paper the existing security of the ATM (Automated Teller Machine) system has been improved by integrating
the fingerprint of the user into the banks database as to further authenticate it. This was achieved by modelling and building an ATM simulator that will mimic a typical ATM system. The end result is an enhanced biometric authenticated ATM system that ensures greater security and increased customers confidence in the banking sector.
Keywords: Enhancement, Biometric Authentication, ATM system, Security
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ABOUT THE AUTHORS
Selina Oko
A professor of Computational Mathematics whose articles has appeared in several international and indexed journals.
Jane Oruh
Currently a teaching staff with Department of Computer Science,Michael Okpara University of Agriculture, Umudike, Nigeria
Selina Oko
A professor of Computational Mathematics whose articles has appeared in several international and indexed journals.
Jane Oruh
Currently a teaching staff with Department of Computer Science,Michael Okpara University of Agriculture, Umudike, Nigeria
