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Biometrics: Types, Applications, and Challenges

Explore the world of biometrics, an automated method for recognizing individuals based on measurable biological and behavioral characteristics. Learn about different types of biometric recognition, their applications, and the constraints that come with them. Discover ongoing biometric research at Clemson University.

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Biometrics: Types, Applications, and Challenges

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  1. Biometrics Austen Hayes and Cody Powell

  2. Overview • What is Biometrics? • Types of Biometric Recognition • Applications of Biometric Systems • Types of Authentication • Constraints on Biometrics • Biometric Research at Clemson

  3. What is Biometrics? • Automated method for recognizing individuals based on measurable biological and behavioral characteristics

  4. Finger Print Recognition • Minutiae • Pattern Matching • Problems: sometimes unusable

  5. Vascular Pattern Matching • LED infrared light • Fingers and back of hand • Not completely viable

  6. Iris Recognition • Uses infrared light • Converts Images to vectors • Needs further development

  7. Facial Recognition • Location and position of facial features • Dependent on background and lighting conditions

  8. Voice Verification • Factors: pitch, intensity, quality and duration • Text dependent • Text independent • Problems: include background noise

  9. Hand Geometry • Scan both sides of hand • Primarily used for verification • Not as accurate as other methods

  10. Dynamic Signature • Factors: velocity, acceleration and speed • Mainly used for verification • Problems: forgers could reproduce

  11. 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

  12. Other Types • Keystroke • Gait • DNA • Odor

  13. Commercial Applications • Computer login • Electronic Payment • ATMs • Record Protection

  14. Government Applications • Passport control • Border control • Access Control

  15. Forensic Applications • Missing Persons • Corpse identification • Criminal investigations

  16. Type of Authentication • Authentication • 1:1 • Verification • 1:N

  17. Constraints on Biometrics • Typical “Constrained” Image • Constraints: • Lighting • Distance • Pose • Expression • Time Lapse • Occlusion

  18. Constraints on Biometrics • “Unconstrained” Image

  19. Biometrics Research at Clemson • Biometric and Pattern Recognition Lab • Goals: • Usable Biometrics • Unconstrained Biometrics

  20. Biometrics Research at Clemson • Aging Research

  21. Biometrics Research at Clemson • Demographics • Older vs. Younger • Males vs. Females • Geographic origin of algorithms

  22. Biometrics Research at Clemson • Periocular Region Recognition • Texture, color, eye shape • Overcome facial occlusion

  23. Biometrics Research at Clemson • Ear Recognition • Not affected by aging or expression • Covert collection of images • Little research performed

  24. Conclusion • Questions?

  25. Sources • Biometrics.gov. Web. 05 Dec. 2011. http://www.biometrics.gov/ReferenceRoom/Introduction.aspx • Jain, Anil K., Arun Ross, and SalilPrabhakar. "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

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