A Survey on Face Recognition Based Attendance System

Authors

  • Anuj Golasangi Student, Department of Information Science and Engineering, Basaveshwar Engineering College, Bagalkote,
  • Manjunath Choudri Student, Department of Information Science and Engineering, Basaveshwar Engineering College, Bagalkote,
  • Pragati Bulla Student, Department of Information Science and Engineering, Basaveshwar Engineering College, Bagalkote,
  • Vinutana Devaraddi Student, Department of Information Science and Engineering, Basaveshwar Engineering College, Bagalkote,

DOI:

https://doi.org/10.5281/zenodo.10644334

Keywords:

attendance system, Dlib, image processing, face detection, face recognition, OpenCV

Abstract

The Face Recognition Attendance System (FRAS) is an innovative solution designed to streamline and enhance the attendance tracking process in various organizational settings. This paper presents a thorough examination of the recent advancements in face recognition-based attendance systems through an in-depth analysis of ten influential survey papers. With the growing need for efficient and secure attendance tracking methods, face recognition technology has emerged as a promising solution. Our study synthesizes insights from a diverse range of survey papers, offering a comprehensive overview of the current state-of-the-art methodologies, challenges, and future directions in the field.

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Published

10-02-2024

How to Cite

[1]
A. Golasangi, M. Choudri, P. Bulla, and V. Devaraddi, “A Survey on Face Recognition Based Attendance System”, IJRESM, vol. 7, no. 2, pp. 15–18, Feb. 2024.

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Section

Articles