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Biometrics education with hands-on labs
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Source ACM Southeast Regional Conference archive
Proceedings of the 46th Annual Southeast Regional Conference on XX table of contents
Auburn, Alabama
SESSION: Computing education table of contents
Pages 18-23  
Year of Publication: 2008
ISBN:978-1-60558-105-7
Authors
Li Yang  University of Tennessee at Chattanooga, Chattanooga, TN
Kathy Winters  University of Tennessee at Chattanooga, Chattanooga, TN
Joseph M. Kizza  University of Tennessee at Chattanooga, Chattanooga, TN
Publisher
ACM  New York, NY, USA
Bibliometrics
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ABSTRACT

Biometrics is an emerging field via the automated use of unique and measurable physiological or behavioral characteristics to determine or verify identity. Biometrics has a variety of applications in governments, military and commercial areas. The Department of Computer Science and Engineering at the University of Tennessee at Chattanooga offers a biometrics course for senior undergraduate students through integration of engineering, statistics, mathematics, policy and ethics. In order to expose students to the area of biometrics with minimum costs, we employ open-source based software to design a series of hands-on labs including fingerprint, face, handwriting, and voice biometrics. Our lab design can serve as a model of biometrics education for programs that have limited budget which may prohibit the use of expensive commercial biometrics devices and software.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Craig I. Watson, Michael D. Garris, Elham Tabassi, Charles L. Wilson, R. Michael McCabe, Stanley Janet and Kenneth Ko, User's Guide to NIST Biometric Image Software (NBIS), National Institute of Standards and Technology, 2006. http://fingerprint.nist.gov/NFIS/
 
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The National Biometrics Challenge, National Science and Technology Council, Subcommittee on Biometrics, 2006.
 
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Lodge Juliet, Trends in Biometrics, December 2006, http://www.libertysecurity.org/article1191.html
 
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Michael D. Garris, James L. Blue, Gerald T. Candela, Patrick J. Grother, Stanley A. Janet and Charles L. Wilson, NIST Form-Based Handprint Recognition System (Release 2.0), NISTIR 5959, National Institute of Standards and Technology, April 2003. http://www.itl.nist.gov/iaui/vip/databases/defs/nist_ocr.html
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Carnegie Mellon University (CMU) http://cmusphinx.sourceforge.net/html/cmusphinx.php
 
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Collaborative Colleagues:
Li Yang: colleagues
Kathy Winters: colleagues
Joseph M. Kizza: colleagues