• DocumentCode
    1137482
  • Title

    A Multidisciplinary Approach to Biometrics

  • Author

    Ives, Robert W. ; Du, Yingzi ; Etter, Delores M. ; Welch, Thad B.

  • Author_Institution
    Dept. of Electr. Eng., U.S. Naval Acad., Annapolis, MD, USA
  • Volume
    48
  • Issue
    3
  • fYear
    2005
  • Firstpage
    462
  • Lastpage
    471
  • Abstract
    Biometrics is an emerging field of technology using unique and measurable physical, biological, or behavioral characteristics that can be processed to identify a person. It is a multidisciplinary subject that integrates engineering, statistics, mathematics, computing, psychology, and policy. The need for biometrics can be found in governments, in the military, and in commercial applications. The Electrical Engineering Department at the U.S. Naval Academy, Annapolis, MD, has introduced a biometric signal processing course for senior-level undergraduate students and has developed a biometrics lab to support this course. In this paper, the authors present the course content, the newly developed biometric signal processing lab, and the interactive learning process of the biometric course. They discuss some of the challenges that were encountered in implementing the course and how they were overcome. They also provide some feedback from the course assessment.
  • Keywords
    biometrics (access control); computer science education; educational courses; educational institutions; electrical engineering education; military computing; Electrical Engineering Department; US Naval Academy; biometric signal processing course; biometrics course; interactive learning process; senior-level undergraduate students; Biology computing; Biomedical signal processing; Biometrics; Computer science; Laboratories; Magnetic field measurement; Mathematics; Military computing; Psychology; Statistics; Active-learning; MATLAB; biometrics; image processing; signal processing;
  • fLanguage
    English
  • Journal_Title
    Education, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9359
  • Type

    jour

  • DOI
    10.1109/TE.2005.849750
  • Filename
    1495654