International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Facial Recognition Based Smart Attendance System

Saurabh BhosaleStudent, B.E., Information Technology, Dr D Y Patil College of Engineering Ambi, Pune, Maharashtra, IndiaAjay PatilStudent, B.E., Information Technology, Dr D Y Patil College of Engineering Ambi, Pune, Maharashtra, IndiaVilas OvhalStudent, B.E., Information Technology, Dr D Y Patil College of Engineering Ambi, Pune, Maharashtra, IndiaMayur SonawaneStudent, B.E., Information Technology, Dr D Y Patil College of Engineering Ambi, Pune, Maharashtra, IndiaProf. Dr. Sushen GulhaneProfessor, B.E., Information Technology, Dr DY Patil College of Engineering Ambi, Pune, Maharashtra, India

Vol 6 No 4 (2022): Volume 6, Issue 4, April 2022 | Pages: 100-103

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 16-05-2022

doi Logo doi.org/10.47001/IRJIET/2022.604021

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Abstract

The main purpose of this project is to build a face recognition-based attendance monitoring system for educational institution to enhance and upgrade the current attendance system into more efficient and effective as compared to before. The current old system has a lot of ambiguity that caused inaccurate and inefficient of attendance taking. Many problems arise when the authority is unable to enforce the regulation that exists in the old system. The technology working behind will be the face recognition system. The human face is one of the natural traits that can uniquely identify an individual. Therefore, it is used to trace identity as the possibilities for a face to deviate or being duplicated is low. In this project, face databases will be created to pump data into the recognizer algorithm. Then, during the attendance taking session, faces will be compared against the database to seek for identity. When an individual is identified, its attendance will be taken down automatically saving necessary information into a excel sheet. At the end of the day, the excel sheet containing attendance information regarding all individuals are mailed to the respective faculty.

Keywords

face recognition, attendance monitoring, and technology


Citation of this Article

Saurabh Bhosale, Ajay Patil, Vilas Ovhal, Mayur Sonawane, Prof. Dr. Sushen Gulhane, “Facial Recognition Based Smart Attendance System” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 6, Issue 4, pp 100-103, April 2022. Article DOI https://doi.org/10.47001/IRJIET/2022.604021

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
References
  1. Harguess, J., Hu, C., Aggarwal, J. K., 2009, Fusing Face Recognition from Multiple Cameras, 978-1-4244-5498-3/09, IEEE.
  2. Kim, J., Choi, J., Yi, Y., 2004, ICA Based Face Recognition Robust to Partial Occlusions and Local Distortions," International Conference on Bioinformatics and its Applications. Fort Lauderdale, Florida, USA, 2004, pp.147-154.
  3. He, X., Yan, S. C., Hu, Y., Niyogi, P.,Zhang, H. J., 2005, Face Recognition Using Laplacianfaces, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.27, pp.328-340, 2005.
  4. Mazloom, M., Ayat, S., Combinational Method for Face Recognition: Wavelet, PCA and ANN, Digital Image Computing: Techniques and Applications, IEEE: 978-0-7695-3456- 5/08.
  5. Agarwal, M., Agrawal, H., 2010, Face Recognition using Principle Component Analysis, Eigen face and Neural Network, International Conference on Signal Acquisition and Processing, 978-0-7695-3960-7/10, IEEE.
  6. Kim, J., M., Kang, M., A., 2010, A Study of Face Recognition using the PCA and Error Back-Propagation, Second International Conference on Intelligent Human-Machine Systems and Cybernetics.
  7. Kelsey, R., Daniel, C., Jesús, O., 2011, A Face Recognition Algorithm using Eigen phases and Histogram Equalization, INTERNATIONALJOURNAL OF COMPUTERS Issue 1, Volume 5.
  8. X. Zhu, Z. Lei, X. Liu, H. Shi, and S. Z. Li, “Face alignment across large poses: A 3D solution”, In Proc. IEEE Conference on Computer Vision and Pattern Recognition, pages 146 – 155, Las Vegas, NV, June 26-July 1 2016.
  9. A.Jourabloo and X. Liu, “Large-pose face alignment via CNN-based dense 3D model fitting”, In Proc. IEEE Con-ference on Computer Vision and Pattern Recognition, pages 4188 – 4196, Las Vegas, NV, June 26-July 1 2016.
  10. E. Richardson, M. Sela, and R. Kimmel, “3D face reconstruction by learning from synthetic data”, In Proc. International Conference on 3D Vision, pages 460–469, California, USA, October 25-28 2016.
  11. “Attendance System Using NFC Technology with Embedded Camera on Mobile Device” (Bhise, Khichi, Korde, Lokare, 2015).
  12. K.Senthamil Selvi, P.Chitrakala, A.Antony Jenitha, "Face Recognition Based Attendance Marking System", IJCSMC, Vol. 3, Issue 2, February 2014.
  13. “Fingerprint Based Attendance System Using Microcontroller and LabView” (Kumar Yadav, Singh, Pujari, Mishra, 2015).
  14. “RFID based Student Attendance System” (Hussain, Dugar, Deka, Hannan, 2014).

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