Dual Biometric ATM Authentication System

Dual Biometric ATM Authentication System

Author Name : Kundukulangara Sneha, Gaonkar Sonali, Mali Charushila, Ranvir Sandhya, Prof. Swapnali Bhujbal

ABSTRACT

ATMs (Automatic Teller Machine) are coming widely used in today's world because they are easy to use and offer convenience. However, today's ATM technology comes with some security risks such as the theft and misuse of cards, the possibility of losing a card, and forgetting PIN numbers. A growing number of frauds committed against automatic teller machines over the last decade motivated us to use biometrics to ensure the accuracy and security of personal identification. In this project, we describe a biometric fingerprint and face recognition system that can replace ATM cards and PINs. The transaction is successful when fingerprint and face match. If fingerprint match is found in database then transaction takes place. After verification, if fingerprint does not match transaction will not take place and the next step of verification takes place I .e face recognition. The face image of particular person is compared with the database image. Then the compared output result is sent to the control unit through serial communication. If an unauthorized person is identified, an alert message is sent to the corresponding user. Thus, an ATM model which provides security by using Facial verification software by adding up facial recognition systems can reduce forced transactions to a great extent and provide hard secure authentication.

Key Words:Biometrics, Facial recognition, Biometric standards, Automatic teller machine, Fingerprint.