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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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