Development of a Multidisciplinary Graduate Course in Biometrics Cover Image

Development of a Multidisciplinary Graduate Course in Biometrics
Development of a Multidisciplinary Graduate Course in Biometrics

Author(s): Min Chen, Lou Chitkushev, Tanya Zlateva
Subject(s): Economy, Editorial, ICT Information and Communications Technologies
Published by: Нов български университет
Keywords: Biometrics; education; active learning; pattern recognition;

Summary/Abstract: Biometrics deals with verification and identification of individuals based on their biological or behavioral characteristics. It is a highly multidisciplinary subject which includes fingerprint, iris, face, speech, hand geometrics and many other modality recognitions. It integrates digital signal processing, image processing, probability, statistics and mathematic computing techniques. To design and develop a graduate level biometrics course, one must fully consider the broadness of different areas as well as the knowledge depths in each topic. The computer science department of Boston University Metropolitan College has introduced a biometrics course for graduate and senior undergraduate students, which incorporates mathematic foundations in probability, statistics, digital signal processing and image processing, and a comprehensive illustration of more than eight biometric modalities. Biometric labs are developed to reinforce students’ knowledge and participation in those modalities. Challenges were encountered during the implementation of the course, which in gave us directions for improving of its quality as well as the teaching and learning experiences.

  • Issue Year: 5/2009
  • Issue No: 1
  • Page Range: 17-24
  • Page Count: 8
  • Language: English