ATM FRAUD
American Journal of Engineering Research (AJER)
2013
American Journal of Engineering Research (AJER) e-ISSN : 2320-0847 p-ISSN : 2320-0936
Volume-02, Issue-05, pp-188-193 www.ajer.us Research Paper
Open Access
Facial Verification Technology for Use In Atm Transactions
Aru, Okereke Eze, Ihekweaba Gozie
Department of Computer Engineering Michael Okpara University of Agriculture, Umudike, Umuahia, Abia
State, Nigeria Opara, F.K.
Department of Electrical/Electronics Engineering Federal University of Technology, Owerri, Imo State, Nigeria
Abstract: There is an urgent need for improving security in banking region. With the birth of the Automatic
Teller Machines, banking became a lot easier though with its own troubles of insecurity. Due to tremendous increase in the number of criminals and their activities, the ATM has become insecure. 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 looked into the development of a system that integrates facial recognition technology into the identity verification process used in ATMs. An ATM model that is more reliable in providing security by using facial recognition software is proposed .The development of such a system would serve to protect consumers and financial institutions alike from intruders and identity thieves. This paper proposes an automatic teller machine security model that would combine a physical access card, a PIN, and electronic facial recognition that will go as far as withholding the fraudster‟s card. If this technology becomes widely used, faces would be protected as well as PINs. However, it obvious that man‟s biometric features cannot be replicated, this proposal will go a long way to solve the problem of Account safety making it
2013
American Journal of Engineering Research (AJER) e-ISSN : 2320-0847 p-ISSN : 2320-0936
Volume-02, Issue-05, pp-188-193 www.ajer.us Research Paper
Open Access
Facial Verification Technology for Use In Atm Transactions
Aru, Okereke Eze, Ihekweaba Gozie
Department of Computer Engineering Michael Okpara University of Agriculture, Umudike, Umuahia, Abia
State, Nigeria Opara, F.K.
Department of Electrical/Electronics Engineering Federal University of Technology, Owerri, Imo State, Nigeria
Abstract: There is an urgent need for improving security in banking region. With the birth of the Automatic
Teller Machines, banking became a lot easier though with its own troubles of insecurity. Due to tremendous increase in the number of criminals and their activities, the ATM has become insecure. 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 looked into the development of a system that integrates facial recognition technology into the identity verification process used in ATMs. An ATM model that is more reliable in providing security by using facial recognition software is proposed .The development of such a system would serve to protect consumers and financial institutions alike from intruders and identity thieves. This paper proposes an automatic teller machine security model that would combine a physical access card, a PIN, and electronic facial recognition that will go as far as withholding the fraudster‟s card. If this technology becomes widely used, faces would be protected as well as PINs. However, it obvious that man‟s biometric features cannot be replicated, this proposal will go a long way to solve the problem of Account safety making it
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