• DocumentCode
    38505
  • Title

    Vertical Integration of Biometrics Across the Curriculum: Case Study of Speaker, Face and Iris Recognition

  • Author

    Ramachandran, Ravi P. ; Dahm, Kevin D. ; Nickel, Robert M. ; Kozick, Richard J. ; Shetty, Sachin S. ; Liang Hong ; Chin, Steven H. ; Polikar, Robi ; Ying Tang

  • Author_Institution
    Coll. of Eng., Rowan Univ., Glassboro, NJ, USA
  • Volume
    14
  • Issue
    3
  • fYear
    2014
  • fDate
    thirdquarter 2014
  • Firstpage
    55
  • Lastpage
    69
  • Abstract
    Vertical integration is a powerful curricular tool that allows students to better appreciate the interconnections among the concepts acquired and learned in different courses. It can be used to bring a modern topic at all levels of the undergraduate curriculum with little additional resources. This paper gives a brief survey of various vertical integration efforts and describes one effort at integrating biometrics throughout the curriculum. The focus is on three senior level projects (speaker, face and iris recognition) that not only rely on vertical integration but also reinforce design, software skills and knowledge of STEM concepts. The freshman through junior levels are also described. The assessment results show that students acquire specific learning outcomes and perceive the value of vertical integration.
  • Keywords
    computer science education; educational courses; educational institutions; engineering education; face recognition; iris recognition; speaker recognition; STEM concepts; biometrics; educational courses; engineering education; face recognition; iris recognition; science technology engineering and math concepts; speaker recognition; undergraduate curriculum; vertical integration; Biological system modeling; Biometrics; Education courses; Electrical engineering education; Iris recognition; Speech proceossing;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1531-636X
  • Type

    jour

  • DOI
    10.1109/MCAS.2014.2333622
  • Filename
    6880933