BiometricsAusten 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. Usable

Biometrics2. 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

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