Transcript Biometrics
Biometrics
Austen Hayes and
Cody Powell
Overview
What
is Biometrics?
Types of Biometric Recognition
Applications of Biometric Systems
Types of Authentication
Constraints on Biometrics
Biometric Research at Clemson
What is Biometrics?
Automated
method for recognizing
individuals based on measurable
biological and behavioral characteristics
Finger Print Recognition
Minutiae
Pattern Matching
Problems: sometimes
unusable
Vascular Pattern Matching
LED
infrared light
Fingers
and back
of hand
Not
completely
viable
Iris Recognition
Uses infrared light
Converts Images to
vectors
Needs further
development
Facial Recognition
Location
and
position of facial
features
Dependent
on
background and
lighting conditions
Voice Verification
Factors: pitch,
intensity, quality and
duration
Text dependent
Text independent
Problems: include
background noise
Hand Geometry
Scan both sides of
hand
Primarily used for
verification
Not as accurate as
other methods
Dynamic Signature
Factors:
velocity,
acceleration and
speed
Mainly
used for
verification
Problems:
forgers
could reproduce
Retina Recognition
One of the most secure
means of biometrics
Unique to each person
Unique to each eye
Problems: require effort
on the part of subjects
Other Types
Keystroke
Gait
DNA
Odor
Commercial Applications
Computer
login
Electronic
Payment
ATMs
Record
Protection
Government Applications
Passport control
Border control
Access Control
Forensic Applications
Missing Persons
Corpse identification
Criminal
investigations
Type of Authentication
Authentication
1:1
Verification
1:N
Constraints on Biometrics
Typical
“Constrained” Image
Constraints:
Lighting
Distance
Pose
Expression
Time Lapse
Occlusion
Constraints on Biometrics
“Unconstrained”
Image
Biometrics Research at
Clemson
Biometric
and
Pattern
Recognition Lab
Goals:
1.
2.
Usable Biometrics
Unconstrained
Biometrics
Biometrics Research at
Clemson
Aging
Research
Biometrics Research at
Clemson
Demographics
Older vs. Younger
Males vs. Females
Geographic origin
of algorithms
Biometrics Research at
Clemson
Periocular
Region
Recognition
Texture, color, eye
shape
Overcome facial
occlusion
Biometrics Research at
Clemson
Ear
Recognition
Not affected by
aging or
expression
Covert collection
of images
Little research
performed
Conclusion
Questions?
Sources
Biometrics.gov. Web. 05 Dec. 2011.
http://www.biometrics.gov/ReferenceRoom/Introduction.aspx
Jain, Anil K., Arun Ross, and Salil Prabhakar. "An Introduction to
Biometric Recognition." IEEE TRANSACTIONS ON CIRCUITS AND
SYSTEMS FOR VIDEO TECHNOLOGY 14.1 (2004): 4-20. IEEE Xplore.
Web. 5 Dec. 2011.
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1262027
Jain, Anil K., Patrick J. Flinn, and Arun A. Ross. Handbook of
Biometrics. New York: Springer. Web. 5 Dec. 2011.
http://libcat.clemson.edu/record=b2478857
Phillips, Jonathon P., Alvin Martin, C. L. Wilson, and Mark Przybocki.
"An Introduction Evaluating Biometric Systems." Computer 33.2
(2000): 56-63. IEEE Xplore. Web. 5 Dec. 2011.
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=820040
http://bprl.cs.clemson.edu/about.html
http://bprl.cs.clemson.edu/projects.html