A Survey on Student Attendance System Using Face Recognition

Abstract

The manual attendance system is a time- consuming method which creates many difficulties for teachers to record student's attendance. Therefore, there is a need for a more convenient biometric student attendance system (SAS) to minimize these difficulties. As face recognition is considered among the best biometric technique, hence face recognition technique is inferential to be used in SAS. The main purpose of this study is to understand the existing works on SAS using face recognition. The current study conducted a survey on previous literature on student attendance system using face recognition. This paper describes the face recognition processes, approaches, and challenges involved in face recognition technique. Illumination in face recognition process has been a challenge in many previous studies. To address this challenge, this study proposed a mobile based SAS by using face recognition technique. The study comes up with a conclusion that face recognition is the most time saving method in SAS that used the mobile camera to resolve the issue of illumination and pose invariance for face recognition in SAS. It was also found that the use of hybrid approach of Principal Components Analysis (PCA) and Linear Discriminant Analysis (LDA) algorithm, increases the accuracy of face recognition in SAS.