Efficient Real Time Attendance System Based on Face Detection Case Study “MEDIU Staff”

Abstract

Recently, using biometrics applications for person’s authentication has received more attention by computer vision researchers. Biometrics applications play an important role in reliable person authentication for recording the attendance of employees in the large organizations. Face detection is considered as an optimal solution for enrolment attendance among all biometrics applications such as Fingerprint. The main objective of this paper is to instigate a develop attendance system automatically in Al-Madinah International University (MEDIU) and achieve higher both accuracy and performance. To develop system of face detector under challenging of face the proposed system accuracy using real life videos by establishing Data Base for MIDIO staff. This paper suggests a combination detector based of voila Jones which deals with challenges in real time of video. In the conducted study the system was capable of determine  one face or more in real time  extremely rapidly while achieving high detection rates with accurate and effective performance. The detection results of 100 frame per video from the data base was satisfying, with the highest result was 96% and the lowest one was 63%.