Comparative Analysis of Facial Recognition and Personal Identification Number Automated Teller Machine Cards
Olumide Orimogunje *
Department of Computer Science and Engineering, Ladoke Akintola University of Technology, P.M.B 4000, Ogbomoso, Nigeria.
Adeolu Afolabi
Department of Computer Science and Engineering, Ladoke Akintola University of Technology, P.M.B 4000, Ogbomoso, Nigeria.
*Author to whom correspondence should be addressed.
Abstract
This paper carried out a comparative analysis between the existing ATM system with its PIN mode of security and an ATM system with a facial recognition module so as to judge their efficiency security wise. Face recognition was introduced into the ATM system to the security concern associated with the existing ATM system. An ATM system with a facial recognition scheme is simulated and comparison is carried between the new system and existing system through a user based assessment with questionnaire distributed to gauge the efficiency of both systems and the level of satisfaction of the users based on the performance of both systems. The results obtained shows that the new system guarantees more security, privacy and confidentiality than the existing system.
Keywords: Biometrics, cryptography, crypto-biometrics