Development of a BAMS Model for an Academic Institution
O. Shoewu, A.A. Ajasa and O.A. Idowu
Corresponding Author : O. Shoewu,
Department of Electronic and Computer Engineering, Lagos State University, Epe Campus, Nigeria.
Email ID : firstname.lastname@example.org
Received : 2015-07-12 Accepted : 2015-09-01 Published : 2015-09-01
Abstract : We present in this paper a Biometric attendance Management System (BAMS) model for an academic institution. Basically the study was implemented with only one academic level in a Nigerian university environment. The sample test was conducted for only twenty five students out of a total of eighty students in a particular course. The attendance was marked after each student identification. Results of this study revealed a standard deviation of 2.87, maximum mean variance of 0.625 and a general efficiency of 68.6%. The standard error of 0.094 was minimal, while the pure error of 1.16 was recorded. The BAMS model yielded a better performance of about 3.8secs. Reports generated also took 30 seconds for the model. The success rate was well above 90%. The result also showed improved performance over manual attendance management system.
Keywords : Fingerprints, attendance, enrolment, authentication, identification
Citation : O. Shoewu, et al(2015). Development of a BAMS Model for an Academic Institution. J. of Advancement in Engineering and Technology. V3I3. DOI : 10.15297/JAET.V3I3.01
Copyright : Â© 2015 O. Shoewu. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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