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Current Biometric Systems for Attendance Taking based on Hand Modalities


Seng Chun Hoo and Haidi Ibrahim
Abstract

Significant progress in the field of biometric technology has provides option to educators in automatically marking the attendance of students in a class. As a result, the educator has more time to conduct a class which in turn benefits the students during the teaching and learning process. Besides, it also helps to curb fraudulent cases as the attendance is taken depending on the distinctiveness of each student’s biometric trait. In this paper, a survey has been focused on the different types of biometric attendance systems based on hand modalities such as fingerprint, finger vein and palm vein. From the analysis, for fingerprint based attendance system, the average accuracy obtained is 97% while average processing time is around 5 seconds per person. Palm vein attendance system has lower accuracy at only 70%. Hence, the outcome from the survey will help future researcher in developing attendance system based on hand modalities with improved accuracy and faster response time.

Volume 11 | 03-Special Issue

Pages: 1775-1780