Biometrics Austen Hayes and

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:
• 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