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A Survey on Automated Student Attendance Management System Using Face Recognition

EasyChair Preprint no. 9910

5 pagesDate: March 31, 2023


The traditional system of managing attendance obviously is a time consuming method which creates many difficulties for the person in charge to record students’ attendance. As we are moving from manual work to automation, there is a need for a more convenient biometric student attendance system to reduce these difficulties. There are various types of biometric techniques to resolve the problem of manual work. As face recognition is considered to be the best biometric technique, face recognition technique is anticipated to be used in student attendance system. The main purpose of this study is to understand the existing work on student attendance system using face recognition. The current study conducted a survey on previous literature based on student attendance management system using facial recognition. This paper elaborates processes, approaches and challenges involved in face recognition technique. There are many challenges with respect to studies based on face recognition. To address this challenge this study proposed a camera based student attendance system by using face recognition technique.

Keyphrases: face recognition, manual automation, student attendance

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Imran Khan and Ayaan Khan and Alfred George and Junaid Golandaj and Shubham Bhandari},
  title = {A Survey on Automated Student Attendance  Management System Using Face Recognition},
  howpublished = {EasyChair Preprint no. 9910},

  year = {EasyChair, 2023}}
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