An ATM with facial recognition and iris scanning is proposed to improve security. It would use cameras to capture images of the user's face and iris to match against stored images associated with their bank account, replacing the need for an ATM card and PIN. If the live and stored images match, the user would be verified. This system aims to make ATM transactions more reliable, efficient and secure compared to existing card/PIN verification methods. The document provides background on ATMs, biometric identification techniques, and describes how a facial/iris recognition system could work and the potential benefits.

1. AN ATM WITH AN EYE
Presented by
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Under the guidance of
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INTTRODUCTION
An automated teller machine (ATM) is :
 Computerize telecommunications
 Made money transactions easy for customers to bank.
 Device that provides the customers of a financial transactions in a public
space without the need for a human clerk or bank teller.
 Security requiring combination Physical access card+ Password(PIN)

3. Personal Identification Number
(Pin)
PIN is one method used by banks and phone companies to
protect your account from unauthorized access
PIN is a confidential code issued to the cardholder to permit
access to that account
PIN should be memorized, secured and not given to anyone, not
even family members or bank employees
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4.  The chances of misuse of ATM are manifold due to the
exponential growth of 'intelligent' criminals day by day.
 There is an urgent need for improving security in banking region.
With the advent of ATM though banking became a lot easier it
even became a lot vulnerable.
 Provide a cordless, password-free way to get their money out of
an ATM
 The development of a system that integrates Facial recognition
and Iris scanning technology into the identity verification
process used in ATMs.
An ATM With An
Eye
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5. On Most Modern ATM, The
Customer Is
Identified by inserting a plastic ATM card with a magnetic
stripe or a plastic smartcard with a chip, that contains a unique
card number and some security information, such as an
expiration date or cvvc (cvv). Security is provided by : the
customer entering A personal identification number (PIN).
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6.  By forcing the ATM match a live image of a customer’s
face/eye with an image stored in a bank database (associated
with the account number) when the data matches(account
image and stored image) 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.
Working
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7. Techniques
BIOMETRIC IDENTIFICATION TECHNIQUES
 Finger Printing
 Retina Scanning
 Facial Recognition
 Iris Recognition
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How It Work
A camera based in ash machine will
 Detect the pattern in second
 Compare it with one store in a central computer.
 Or encode on to the cash card.
A sensor system examines the randomly
 Formed features of the iris of the eye
 as unique as a fingerprint.

9. Where It Used
The development of such a system would
 serve to protect consumers
financial institutions alike from fraud
other breaches of security.
FIGURE-3
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10. Camera Installation On ATM
Machine
FIGURE-4 10

11. Portrait camera
Camera Snapshots
Cash slot(Dispenser) camera
FIGURE-5
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12. 15/03/11 12
Function
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13. Iris code generation
FIGURE-6
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14. Steps Of Iris Working
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15. EYE automatically discover SNMP enabled devices,
application servers and applications. EYE has up-to-date and
accurate end-to-end visibility on what’s happening on your
infrastructure.
Troubleshooting
FIGURE-6
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16. Network of troubleshooting
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Conclusion
We Thus Develop An Atm Model That Is
 More reliable in providing security by using facial recognition
software.
 By keeping the time elapsed in the verification process to a
negligible amount
 Try to maintain the efficiency of this ATM system

18. REFERENCES
[1] www.nationmaster.com
[2] www.google.co.in
[3] www.atmeye.net
[4] Wikipedia
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