• DocumentCode
    3724519
  • Title

    Multimodal biometric scheme for e-assessment

  • Author

    S.O. Ojo;T. Zuva;S.M. Ngwira

  • Author_Institution
    Computer Systems Engineering, Tshwane University of Technology, South Africa
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Problems of impersonation and other malpractices of various degrees have continued to mar the electronic-assessment (eassessment) of students at various levels. The use of traditional methods of password and token passing for identity management and control has failed to provide acceptable solution to these problems, due to their susceptibility to theft and various forms of violations. The failure of these and other methods in identity management has propelled the emergence of different biometricbased systems as solutions. The biometric systems use naturally endowed traits which include fingerprint, face, iris, voice, etc. for more reliable human identification and authentication. This paper proposes a multimodal biometric scheme for e-assessment aimed at reducing the time spent when performing biometric authentication. Results obtained indicate that by combining the fingerprint and facial biometric modes in a multimodal biometric scheme, the amount of time required to authenticate a learner in an eassessment can be reduced.
  • Keywords
    "Fingerprint recognition","Authentication","Mice","Computers","Bioinformatics","Databases"
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication and Security (ICCCS), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/CCCS.2015.7374149
  • Filename
    7374149