Secured Banking using Multilevel Authentication by Face Recognition and SIM Card Verification for ATMs
S. Mahaboob Basha1, V. Ramkumar2, S. P. Vijaya Vardan Reddy3, V. Bhuvaneswari4, V. Praveen Kumar5

1Dr. S. Mahaboob Basha*, Assistant Professor, R.M.K. Engineering College, Chennai, Tamil Nadu, India,
2Mr. V. Ramkumar, Assistant Professor, R.M.K. Engineering College, Chennai, Tamil Nadu, India,
3Mr. S. P. Vijaya Vardan Reddy, Assistant Professor, R.M.K. Engineering College, Chennai, Tamil Nadu, India,
4Ms.V. Bhuvaneswari, Assistant Professor, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India,
5Mr.V.Praveen Kumar, Senior Engineer, Nagman Instrumentation and Electronics Pvt. Ltd, Chennai, Tamil Nadu, India.
Manuscript received on December 13, 2019. | Revised Manuscript received on December 22, 2019. | Manuscript published on January 10, 2020. | PP: 2596-2598 | Volume-9 Issue-3, January 2020. | Retrieval Number: B7062129219/2020©BEIESP | DOI: 10.35940/ijitee.B7062.019320
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Abstract: Security in ATM centers has become the need of the hour. Now-a-days we hear lots of news about Money laundering from ATMs by using fraudulent cards. This incurs not only loss of money but also huge stress to the customers. To thwart this situation and to guarantee a secured and safe transaction we have proposed a multilevel authentication for allowing access to the customer’s account.In our prototype the first level of authentication through the SIM of the subscriber. If it is a valid SIM then the second level of security check is through Facial Recognition. The camera in the ATM unit captures the image of the person withdrawing the money and compares with the database in the bank’s server. If both are matching then access to the net banking is facilitated. We are also incorporating voice annunciator system to aid blind people which will guide them to perform the transaction with ease. 
Keywords: SIM Card Verification, Facial Recognition, Voice Annunciator.
Scope of the Article: Pattern Recognition