Students’ Class Attendance Monitoring System Using Fingerprint

Abstract

Students’ class attendance monitoring has always been known as a typical problem that is time-consuming, energy-sapping and waste of time. Therefore, the need to adopt an electronic system as opposed to the manual process cannot be over-emphasized. This paper designed a students’ attendance monitoring system which could efficiently monitor student attendance in their various classes in the Department of Computer Science, Federal Polytechnic, Ilaro, Ogun State. Student attendance is marked after a student’s biometric identification has been stored in the database. This study developed an electronic class attendance monitoring system using a feature extraction algorithm for matching a fingerprint template. The use of fingerprint will help to reduce the skipping of classes by the student and which will improve their academic performance. A questionnaire was also prepared and administered to sample the opinion of lecturers and students involved. The difference in the mean response of both manual and electronic was tested using descriptive analysis. The result from the analysis corroborates the fact that the electronic method is better.