Attendance Management System Using Facial Recognition

Authors

  • Rajesh Kumar S  Assistant Professor, CiTech, Bangalore, Karnataka, India
  • Farzana A  CiTech, Bangalore, Karnataka, India
  • Gurijala Prajwal Nagabhaskar  CiTech, Bangalore, Karnataka, India
  • Lakshmi   CiTech, Bangalore, Karnataka, India
  • Vanitha T P  CiTech, Bangalore, Karnataka, India

DOI:

https://doi.org//10.32628/IJSRSET222937

Keywords:

Attendance Management System, HPENet, PTNet, Facial Recognition

Abstract

The main purpose of this project is to build a face recognition based attendance management system for any institution or organization to enhance and upgrade the current attendance monitoring system in to a more efficient and effective one. The current system has lot of ambiguity that causes inaccurate and inefficient attendance record. Problems of attendance monitoring and management that exists in the current system can be resolved using current emerging technologies. The technology working behind this proposed project will be the face recognition system. The human face is one of the natural traits that can uniquely identify an individual. Possibilities for a human face to change or being duplicated is low. In this project, databases of human face images will be created to use them in the recognizer algorithm. During the attendance human faces will be compared against the stored data to seek for identity. When an individual is identified, attendance will be recorded automatically by saving the necessary information in to an excel sheet database. Further the saved attendance information can be used for monitoring and management purposes.

References

  1. U. Jain, M. Shirodkar, V. Sinha and B. Nemade., “ Automated Attendance Management System using Face Recognition,” IJCA Proceedings on International Conference and Workshop on Emerging Trends in Technology
  2. Prabhakar S., Pankanti S., and Jain A. K.: “Biometric Recognition: Security and Privacy Concerns”, IEEE Security and Privacy Magazine, Vol. 1, No. 2, pp. 33-42, 2003
  3. Shoewu, O., O.M. Olaniyi, and A. Lawson. 2011. “Embedded Computer-Based Lecture Attendance Management System”. African Journal of Computing & ICT. 4 (3): 27- 36.
  4. S. K. Jain, U. Joshi, and B. K. Sharma, “Attendance Management System,” Masters Project Report, Rajasthan Technical University, Kota.
  5. M. K. P. Basheer and C. V. Raghu, “Fingerprint attendance system for classroom needs,” in Proc. India Conference (INDICON), 2012 Annual IEEE, pp. 433-438, 7-9 Dec. 2012.
  6. M. Kassim, H. Mazlan, N. Zaini, and M. K. Salleh, “Web-based student attendance system using RFID technology,” in Proc. IEEE Control and System Graduate Research Colloquium (ICSGRC 2012), pp. 213-218, 16-17 July 2012, doi: 10.1109/ICSGRC.2012.6287164.
  7. Clyde Gomes, Sagar Chanchal, Tanmay Desai and Dipti Jadhav,” Class Attendance Management System”

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Published

2022-06-30

Issue

Section

Research Articles

How to Cite

[1]
Rajesh Kumar S, Farzana A, Gurijala Prajwal Nagabhaskar, Lakshmi , Vanitha T P, " Attendance Management System Using Facial Recognition, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 3, pp.175-180, May-June-2022. Available at doi : https://doi.org/10.32628/IJSRSET222937