• DocumentCode
    587754
  • Title

    elBio - framework for learning multimodal biometrics

  • Author

    Sosevic, U. ; Milenkovic, I. ; Kezele, B. ; Milovanovic, Milos ; Minovic, Miroslav

  • Author_Institution
    Fac. of Organizational Sci., Univ. of Belgrade, Belgrade, Serbia
  • fYear
    2012
  • fDate
    29-31 Oct. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Lately, there is an increasing interest in multimodal biometric systems. Development of such systems requires high level of understanding of every segment of multimodal biometric process and its terminology. Standard process of learning these concepts can be rather uninteresting and time consuming. In order to attack this issue, this paper presents elBio, platform designed to facilitate learning of multimodal biometrics through tutorial-like system interaction. elBio guides potential biometric trainees through an array of steps, that are common for almost every multimodal biometric system development process. Trainee can assemble an example system by proceeding through defined phases. At the same time, the process of learning and acquiring practical knowledge happens at a much faster rate in comparison to using traditional book-style learning approach.
  • Keywords
    biometrics (access control); computer based training; biometric trainees; elBio; multimodal biometric system development process; multimodal biometrics learning; tutorial-like system interaction; Bioinformatics; Face; Feature extraction; Fingerprint recognition; Iris recognition; Magnetic resonance; biometrics; e-learning; multimodal biometrics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Education (SIIE), 2012 International Symposium on
  • Conference_Location
    Andorra la Vella
  • Print_ISBN
    978-1-4673-4743-3
  • Type

    conf

  • Filename
    6403194