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
Link To Document :
بازگشت