Transcript Iris Scanning By, rahul vijay 1

Iris Scanning
By,
rahul vijay
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Introduction
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Biometrics provides a secure method of authentication and identification.
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Biometric identification utilises physiological and behavioural characteristics
to authenticate a person’s identity.
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A biometric system can be divided into two stages:
Enrolment module
Identification module
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Biometric devices have three primary components :
Automated mechanism
Processing, Storage and comparison of image with a stored data
Interfaces
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Irises are one of the more accurate physiological
characteristics that can be used.
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The probability of finding two people with identical iris pattern
is almost zero.
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The iris-scan process begins with a photograph.
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History
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In 1936
By Frank Burch .
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In 1987
By Aram Safir and Leonard Flom .
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In 1987
By John Daugman .
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In 1994
products .
Basis for all iris recognition system &
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In 1996
By licensee sensar.
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Bet 1997-1999
By NCR Corps & Diebold Corp.
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What is Iris?
 The iris is a protective internal organ of a eye, which appear
as a colored disc , behind clear protective window of cornea,
surrounded by white tissue of the eye.
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Iris as Powerful Identifier
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The iris is called the living password because of its unique, random features.
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The probability that any two irises would be alike is one in 10 to 78th power.
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Iris artificial duplication is virtually impossible.
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Working Of Iris Scanning
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Image Acquisition
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Image acquisition using visible light:
Using visible light the texture information obtained is less.
The different layers are visible while using visible light .
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Image acquisition using infrared light:
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A better texture information is obtained using infrared light.
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It gives more precise data for comparison.
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Iris Imaging
Iris Imaging
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Position Your eye 10 to 15
centimetres from the iris scanner.
• Distance up to 1 meter
• Near-infrared camera
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Make sure that you can only see one
eye in the LCD display of the iris
scanner.
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If you feel that one eye is giving you
more trouble than the other, always
use the other eye.
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Keep your eye still during the scan.
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Stand still until the computer
indicates identification is completed.
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Iris localization
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The process of obtaining picture
of iris only is called localization.
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Delimits the iris from the rest of
the acquired image
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To identify the approximately
concentric circular outer
boundaries of the iris and the
pupil in a photo of an eye using
DAUGMAN’S ALGORITHM
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Exclude eyelids, eyelashes and
pupil also .
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Feature Encoding
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After localization iris code is computed based on
information received from GABOR WAVELETS.
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GABOR WAVELETS are specialized filter banks that
extract information from signal at various locations and
scales.
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The IRIS CODE is calculated using 8 circular bands that
has been adjusted to iris and pupil boundary.
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Iris recognition tech converts visible characteristic of iris
into 512 bit iris code, these templates are stored for future
verification attempts.
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Pattern Matching
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Live Iris code of the iris presented for authentication
is compared with iris code stored in the database.
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Bit by bit comparison is made between two irises & no
of non matching bits & matching bits are found out.
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Number of non matching bits are divided by number of
bits to obtain Hamming distance.
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Hamming distance gives degree of match or unmatch.
For two identical iris code, hamming distance is zero,
and for perfectly unmatch hamming distance is one.
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Comparison with respect to cost & Accuracy
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Iris scanning is most expensive biometric security system when compared
to other.
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But the accuracy of this system is proportionately high.
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Comparison of Iris Recognition with other
Biometrics:
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Applications
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Computing environment.
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Need for large throughput and queuing.
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Tracking Prisoner Movement.
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Future Applications
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Computer login: The iris as a living password.
National Border Controls: The iris as a living password.
Telephone call charging without cash, cards or PIN
numbers.
Premises access control (home, office, laboratory etc.).
Driving licenses and other personal certificates.
Entitlements and benefits authentication.
Forensics, birth certificates, tracking missing or wanted
person
Automobile ignition and unlocking; anti-theft devices.
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Advantages
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Sensing of the biometric is without physical contact .
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Iris is an internal organ is well protected against damage .
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Iris has a fine texture .
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Highly stable .
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Artificial eye can be detected .
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Analysis of iris extremely fast .
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Highly accurate .
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Disadvantages
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Requires much user cooperation.
Performance of iris authentication may be impaired by glasses .
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Difficult to perform at a distance larger than a few meters
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Susceptible to poor image quality .
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Camera used in the process needs to have the correct amount of
illumination.
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Obscured by eyelashes, lenses, reflections .
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Conclusion
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The uniqueness of iris and the low probability of a false acceptance
or false rejection all contribute to the benefits of using iris
recognition technology.
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Provides an accurate and secure method of authenticating users
onto company systems .
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The technical performance cabability of the iris recognition process
far surpasses that of any biometric technology now available and it
is the future of highly secure security system.
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References
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Daugman J (1999) "Biometric decision landscapes." Technical Report No
TR482,University of Cambridge Computer Laboratory.
J. Daugman, “The Importance of Being Random: Statistical Principles of
Iris Recognition,” Pattern Recognition, vol. 36, no. 2, pp 279-291.
R. P. Wildes, “Iris Recognition: An Emerging Biometric Technology,”
Proc. of the IEEE, vol. 85, no. 9, 1997, pp. 1348-1363.
Websites:
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http://www.iris-scan.com/iris_cautionary.htm
http://www.iriscan.com/basics.php
http://www.cl.cam.ac.uk
http://en.wikipedia.org/wiki/Iris_recognition
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