Transcript BIOMETRICS - School of Information Technology, IIT kharagpur

BIOMETRICS
By
Lt Cdr V Pravin
05IT6019
BIOMETRICS
 Forget
passwords ...
 Forget
pin numbers ...
 Forget
all your security concerns ...
BIOMETRICS
 Introduction
 General
system
 Finger Print
 Iris
 Performance & Application
 Conclusion
WHAT IS BIOMETRICS?
 Automated
 Pattern
method
recognition system
 Specific
physiological or behavioral
characteristics
WHY USE IT?
 Traditional
methods involving passwords
and PIN numbers
 Biometrics
highest level of security
CHARACTERISTICS USED
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Fingerprints
Voiceprints
Facial features
Writing patterns
Iris patterns
Hand geometry
BIOMETRIC SYSTEM
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Data Collection
Transmission
Signal Processing
Data Storage
Decision
BIOMETRIC SYSTEM
HOW IT WORKS
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The hardware captures the salient human
characteristic
The software interprets the resulting data and
determines acceptability.
FINGER PRINT
 Oldest
form of Biometrics
 Highly
Reliable
 Uses
distinctive features of fingers
FINGER PRINT RECOGNITION
 Global
 Local
features
features
GLOBAL FEATURES

Pattern Area

Core Point

Delta

Line types

Ridge Count

Ridge Patterns
BASIC RIDGE PATTERNS
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Loop
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Arch
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Whorl
LOOP, ARCH AND WHORL
STAGES
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Fingerprint Scanning
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Fingerprint Matching

Identification
FINGERPRINT SCANNING
 It’s the acquisition and recognition of a
person’s fingerprint characteristics for
identification purposes
IMAGE CAPTURE
 Optical
 Thermal
 Capacitance
 Ultra
Sound
IMAGE ACQUISITON
MINUTIA MATCHING
BRIDGE CODE
SPUR CODE
PROCESS
PROCESS
FINGERPRINT PC LOCK
FINGERPRINT DOOR LOCK
IRIS RECOGINITION
IRIS RECOGNITION
Pattern recognition technique
Identification by mathematical analysis of
the random patterns.
Based upon the qualities of the Iris
Iris is a protected internal organ whose
random texture is stable throughout life
IRIS PROPERTIES
High degree of Randomness
No two Iris are alike
Stable in a persons life
Doesn't vary with changes
IRIS SCAN
 Camera at close proximity
 Captures photograph
 Uses Infra red light to illuminate
 High resolution photograph
IRIS SCAN IMAGE
IRIS CODE
 Localization
of inner and outer boundaries
 Pattern of 512 bytes
 Complete and Compact description
 More complete than features of DNA
IRIS SYTEM
Uniform
distribution
Pre
processing
Iris scan image
capture
Iris
localization
Stored
templates
Reject
Featureextraction
Identification
Verification
Accept
Iris code
comparison
IRIS RECOGNITION
 Database
of millions of records
 Iris code generated is compared
 Searching algorithm based on Properties
of Iris
 Order of a few seconds
AVIATION – IRIS DEVICES
BIOMETRIC PERFORMANCE
FAR
The FAR is the chance that someone
other than you is granted access to
your account.
Low false acceptance rate is most
important when security is the priority
BIOMETRIC PERFORMANCE
FRR
The FRR is the probability that are not
authenticated to access your account.
A low FRR is required when convenience
is the important factor
FINGERPRINT PERFORMANCE
 FAR
- As low as 1 in 1,000,00
 FRR
–around 4%
IRIS PERFORMANCE
 FAR
- As low as 1 in 1,000,000
 FRR
–around 2%
APPLICATIONS
 Criminal
identification
 Prison security
 ATM
 Aviation security
 Border crossing controls
 Database access
SOME BIOMETRICS STILL IN
DEVELOPMENT
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Scent
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Ear Shape
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Finger nail bed

Facial 3D
REFERENCES
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www.biometix.com
www.biomet.org
www.owlinvestigation.com
www.ddl.ision.co.uk
www.zdnetindia.com/techzone/resources
www.biodata.com.au