biometric identification in atm’s ppt
TRANSCRIPT
Technical Seminar on
BIOMETRIC IDENTIFICATION IN ATM’S Under the Guidance of P.V.R.K.MURTHY, M.Tech
Assistant Professor
Presented By
•Biometric ATM are used for wide range of applications like for
Banking, Coupons & Self service ATM. Biometrics ATM offer ATM type
interface along with at-least one Biometrics capture device like
Fingerprint Scanner, Iris camera, Palm/Finger Vein scanner , Face
recognition camera. They are often called Multi-Biometrics ATM, Wall
mount Biometrics ATM, Biometrics Devices / Machine.
•Most of the ATM in the past have been using ID cards to identify users
but with the wide acceptance of Biometrics , a new generation of
Biometrics ATM are being deployed for wide range of applications
worldwide.
INTRODUCTION
What is Biometrics ?
• The meaning of Biometrics comes from the Greeks.
Biometry = bio(life) + metry(to measure).
• Biometrics is the science and technology of measuring and
analyzing biological data.
• The first known example of biometrics in practice was a form of
finger printing being used in China in the 14th century.
• Biometrics refers to technologies that measure and analyze human
body characteristics such as DNA, fingerprints, eye retinas and
irises, voice patterns,facial patterns and hand measurments for
authentication purposes.
HOW BIOMETRICS WORKS ?
• Biometrics systems work by recording and comparing biometric
characteristics.
• When an individual first uses a biometric system, their identifying
features are enrolled as a reference for future comparison. This
reference may be stored in a central database or on a card (or both)
depending on the needs of the application.
• When biometric recognition is
required, the individual 's
biometric characteristics are
recorded again. This time
however, the identifying features
are compared by the system with
the stored reference to determine
if there is a close match
TYPES OF BIOMETRICS
HAND
• The three dimensional shape of a
person’s hand has several
advantages as an identification
device.
• Scanning a hand and producing a
result takes 1.2seconds.It requires
little space for data storage about 9
bytes which can fit easily magnetic
strip credit cards.
FINGER PRINT
A fingerprint scanner system has two basic jobs :
• It needs to get an image of your finger.
• It needs to determine whether the pattern of ridges and valleys in
this image matches the pattern of ridges and valleys in pre-scanned
images.
• Only specific characteristics, which are unique to every
fingerprint, are filtered and saved as an encrypted biometric key or
mathematical representation.
No image of a fingerprint is ever saved, only a series of numbers
(a binary code), which is used for verification. The algorithm
cannot be reconverted to an image, so no one can duplicate your
fingerprints.
BIOMETRIC SYSTEM
Identification:
• A one to many comparison of the captured biometric against a
biometric database in attempt to identify an unknown
individual.
Verification:
• A one to one comparison of a captured biometric with a stored
template to verify that the individual is who he claims to be.
• Verification is faster and performs better.
• In a verification, the user must first enter his or her identity to
the biometric system. User ID's can be forgotten and cards can
be lost, making access impossible.
MULTIBIOMETRICS
INTEGRATING FACES AND FINGER PRINTS FOR PERSONAL
IDENTIFICATION
An automatic personal identification system based on fingerprints or
faces is often not able to meet the system performance requirements.
A MULTIMODEL BIOMETRIC SYSTEM USING FINGERPRINT,
FACE AND SPEECH
This system takes the advantage of the capabilities of each individual
biometric. It can be used to overcome some of the limitations of a single
biometrics.
•ATM Card frauds
•Use of ATM card duplicators
•Card sharing by family and friends
•Inability to trace the wrongful users
•ATM PINs can be shared on phone or recorded
using secret cameras
ISSUES IN CURRENT ATM NETWORKS
BIOMETRIC ATMS SOLVE THESE ISSUES & OFF
•Single/Multi factor Biometric Authentication:
Fingerprint, Iris, Face, Pal vein
•Multifactor Authentication: Card + PIN +
Biometrics
•Online or offline Authentication using smart cards
•Card less Authentication
•Biometrics is combination of card or PIN
APPLICATIONS OF BIOMETRIC ATM
• Banking & Finance
• Food coupons / Tickets / Canteen ATM
• Membership Verification ATM
• Transaction / Check Deposit ATM
• Self Service ATM
• Retail ATM
•while a criminal might be able to obtain a password illegally,
getting a user's fingerprints would be much more
complicated.
•In addition, contrary to traditional ID cards or badges, you
can't actually lose physical features, making maintenance
more cost efficient for the business or organization, and the
technology more convenient for users.
ADVANTAGES
•Biometric identification machines are traditionally more
expensive to buy than traditional ones.
•Biometric identification machines are not always entirely
accurate. For example, an individual with a cold may not be able
to identify himself using a voice identification device, and
people who gain or lose weight may suddenly lose access to a
place protected by a system analyzing facial features.
DISADVANTAGES
CONCLUSION
Biometric tokens are the safest means of preventing ATM frauds.
• The main reason for introducing biometric systems is to increase
overall security.
• Biometrics offers greater security and convenience than traditional
methods of personal recognition.
• In some applications, biometrics can replace or supplement the
existing technology. In others, it is the only viable approach.
• The biometric system is only one part of an overall identification or
authentication process, and the other parts of that process will play an
equal role in determining its effectiveness
ATMS OF THE FUTURE
Today’s biometric scanners go far beyond basic fingerprint recognition.
• In Poland and Japan, consumers are already using Hitachi's infrared
scanners that capture the unique pattern of capillaries in the finger and
hand.
• The most secure biometric technology uses a device designed to
perform an iris scan based on more than 2,000 unique measurement
points.
• According to developers, people and pets all over the world will be
connected to a system that uses iris scan identification within the next
decade.
REFERENCES
•Arpita Gopal, Chandrani Singh, e-World : Emerging Trends in
Information Technology, Excel Publication, New Delhi (2009)
• James L. Wayman, Anil K. Jain, Davide Maltoni, and Dario Maio,
Biometric Systems: Technology, Design and Performance
Evaluation, Springer .
• Davide Maltoni, Dario Maio, Anil K. Jain, Salil Prabhakar,
Handbook of Fingerprint Recognition, Springer .
• John Chirillo, Scott Blaul, Implementing Biometric Security,
Wiley Red Books
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