This document discusses the use of facial recognition technology at ATMs. It begins with an introduction and outline. It then provides background on the history of ATMs, including their invention in the late 1960s. It discusses the need for facial recognition at ATMs to reduce fraud. The document explains how facial recognition works by analyzing nodal points on the face and creating a unique faceprint. It describes the identification process and advantages of using this technology, such as reduced fraud and convenience. Potential disadvantages include recognition not being unique enough and the need for time to match images. In conclusion, the document argues that additional security like facial recognition is needed due to increasing ATM fraud.

1. ATM WITH AN EYE
Presented By:
Vishnu Parsi
Guided By:

2. OUTLINE
 Introduction
 What is an ATM
 History
 Need of Facial Recognition at ATM
 Where technology is used
 Working
 Advantages & Disadvantages
 Conclusion

3. INTRODUCTION
 ATM made money transaction easy.
 Other side is enhancement of culprit’s action
to get unauthentic access.
 Improved Technology is used.
 Facial Recognition is recent technology used
at ATMs.

4. ATM with facial Recognition
Mechanism

5. History of an ATM
 Many inventors contribute to the invention.
 Don Wetzel invented first successful and modern
ATM.
 But Luther GEORGE started patenting earlier in
1939.
 A working prototype was ready in 1969 & was
installed in New York.

6. Don Wetzel's ATM
 He got the idea while waiting in line at Dallas Bank.
 It was not in a lobby.
 It was actually in the wall of the Bank.
 Had a canopy over IT for protection.
 ATM was cash dispenser only.
 First ATM’s were off-line machines.

7. What is an ATM
 A Banking Terminal that accepts deposits &
dispenses cash.
 It has two input devices viz ;
1. A card reader that reads
magnetic strip.
2. A keypad.
 It has four output devices viz ;
1. A speaker.
2. A display screen.
3. A printer.
4. A safe & cash dispensing
mechanism.

8. Atm machine

9. ATM
 Networking
ATMs are connected to interbank network
enabling people to withdraw and deposit money from
machines not belonging to the bank where they have
their account.
 Hardware
ATMs contain secure cryptoprocessors,
generally within an IBM PC compatible host
computer in a secure enclosure.

10. CONTINUE…
 Software
ATMs are moving away from custom
circuit boards and into full-fledged with
commodity operating systems such as
Windows 2000 and Linux .
 Reliability
ATMs are generally reliable, but if
they do go wrong customers will be left
without cash or giving out higher value notes.

11. CONTINUE…
 ATM Frauds
These had two common forms.
1. In the low-tech form, the user's PIN is observed by
someone watching as they use the machine.
2. By contrast, the most common high-tech modus operandi
involves the installation of a magnetic card reader over
the real ATM's card slot, and the use of a wireless
surveillance camera to observe the user's PIN.

12. ATM’s in Operation

13. Need of Facial
Recognition at ATM
 Traditionally, card & PIN is used to access
account.
 ATM frauds are increasing.
 By forcing ATM to match live image with an
image stored in a bank database, frauds can be
minimized.
 Only when PIN & image matches, user is
considered fully verified.

14. Where Facial Recognition
Technology is used
 Used mainly in Law Enforcement Agencies &
Security Surveillance.
 Also has several other uses :
1. Eliminating voter fraud.
2. Check-Cashing identity
verification.
3. Computer security.
 Also used to pinpoint the face in the crowd &
measure its features.

15. Computer Security
 Facial Recognition
software can be used to
lock your computer.

16. Used to pinpoint faces in
crowd
 Facial Recognition
mechanism is also
used to pinpoint a
face in the crowd &
measure its features.

17. Working
 Facial Recognition analyzes Characteristics of face
through digital camera.
 There are peaks & valleys on face called nodal
points.
 There are around 80 nodal points on face.
 Some of them are :
1. Distance between eyes.
2. Width of nose.
3. Depth of eye sockets.
4. Cheekbones.
5. Jaw line.
6. Chin.

18.  These nodal points are measured to create a
numerical code that represents face in database.
 This code is called face-print.
 These measurements are then used for
comparison when user stands before camera.
 Does not require physical contact with image
capturing device.

19. Identification Steps
 Take a photo of the individual & encode it.
 Match the encoding against database.
 Display the result (i.e. verified or not-
verified).

20. Verification

21. Advantages
 Frauds are minimized.
 It does not require any physical contact with
image capture device.
 Does not require any advance hardware.
 Convenient to use because additional security
information (smart cards, pwd. etc) can be
skipped.
 Usually helps in situation where certain biometric
feature is not optimal. e.g. hard workers may
have raw finger prints.

22. Disadvantages
 Face is not so unique, so its recognition
reliability is slightly lower.
 To match with the database image, it
requires lot of time.

23. Conclusion
 As ATM frauds are increasing, or the
culprit’s probability to get the ‘unauthentic
access’ is increasing, additional security
like Facial Recognition mechanism is
necessity.

24. REFERENCES
 http:///www.atmmachine.com/atmmachine.html
 www.bls.gov/oco/ocos186.html
 www.diebold.com/solutions/atms/default.htm
 www.encyclopedia.com/html/a1/autotel.asp
 www.legis.state.wi.us/lrb/pubs/ttp-10-2000.html
 www.answers.com/topic/automatic-teller-machine
 www.infoplease.com/ce6/sci/AO805407.html

25.  Questions ???