The rise of technology in India has brought into force many types of equipment that aim at more customer satisfaction. ATM is one such machine which made money transactions easy for customers to bank. The other side of this improvement is the enhancement of the culprit’s probability to get his ‘unauthentic’ share. Traditionally, security is handled by requiring the combination of a physical access card and a PIN or other password in order to access a customer’s account. This model invites fraudulent attempts through stolen cards, badly-chosen or automatically assigned PINs, cards with little or no encryption schemes, employees with access to non-encrypted customer account information and other points of failure.
Our paper proposes an automatic teller machine security model that would combine a physical access card, a PIN, and electronic facial recognition. By forcing the ATM to match a live image of a customer’s face with an image stored in a bank database that is associated with the account number, the damage to be caused by stolen cards and PINs is effectively neutralized. Only when the PIN matches the account and the live image and stored image match would a user be considered fully verified. A system can examine just the eyes, or the eyes nose and mouth, or ears, nose, mouth and eyebrows, and so on.
In this paper , we will also look into an automatic teller machine security model providing the customers a cardless, password-free way to get their money out of an ATM. Just step up to the camera while your eye is scanned. The iris — the colored part of the eye the camera will be checking — is unique to every person, more so than fingerprints.


Astrums