Face Detection and Recognition for Bank Transaction
Sudarshan Dumbre, Shamita Kulkarni, Devashree Deshpande, Pallavi V. Mulmule · Journal of Emerging Technologies and Innovative Research · 2016
There is a crucial 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. An attempt is made for developing a system that integrates facial recognition technology into the identity verification process and use of RFID card for handling multiple accounts in same card with Raspberry pi controller. 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 RFID card, a PIN, and electronic facial recognition that will go as far as with holding the fraudsters’ card. If this technology becomes widely used, faces would be protected as well as PINs. However, it obvious that manes biometric features cannot be replicated, this proposal will go a long way to solve the problem of Account safety making it possible for the actual account owner alone have access to his accounts. The combined biometric features approach is to serve the purpose both the identification and authentication.