ARCHIVES
Case Study
Face Recognition based Attendance System
Mahesh Basavaraj, Mohith P1
Sai Vrushabh R2
Shashank K Bharadwaj3
1234 Dayananda Sagar Academy of Technology and Management, Bengaluru, Karnataka, India.
Published Online: May-August 2025
Pages: 295-299
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20250402044
References
1. Bradski, G. (2000). The OpenCV Library. Dr. Dobb’s Journal of Software Tools.
2. Bansal, M. (2020). Face Recognition System for Attendance Using Face Descriptor Tool. SSRN Electronic Journal. Available at:
https://ssrn.com/abstract=3557027
3. Budiman, A., Fabian, F., Yaputera, R. A., Achmad, S., and Kurniawan, A., 2023. Student Attendance System with Face Recognition (LBPH
or CNN): Systematic Literature Review. Procedia Computer Science, 216, 31-38. https://doi.org/10.1016/j.procs.2022.12.108
4. Chintalapati, S., and Raghunadh, M. V. (2979). Automated attendance management system based on face recognition algorithms. 2013
IEEE International Conference on Computational Intelligence and Computing Research (ICCIC).
https://doi.org/10.1109/ICCIC.2013.6724266
5. Mridha, K., and Yousef, N. T. (2021). Study and Analysis of Implementing a Smart Attendance Management System Based on Face
Recognition Technique Using OpenCV and Machine Learning. International Journal of Creative Research Thoughts (IJCRT), 9(4), 5585-5587.
6. Suresh, V., Dumpa, S. C., Vankayala, C. D., Aduri, H., and Rapa, J. Facial Recognition Attendance System Using Python and OpenCV.
Procedia Computer Science, 216, 31-38, https://doi.org/10.1016/j.procs.2022.12.108
7. Smitha, S., Hegde, P. S. and Afshin, A. (2020). Face Recognition Based Attendance Management System. International Journal of
Engineering Research & Technology (IJERT) 9, no. 5: 1190-1192. https://doi.org/10.17577/IJERTV9IS050861
8. K. Mokashi, S. Kodag, P. Pawar, and Y. Shahare, Masked Face Recognition Based Attendance System Using Deep Learning, 2021,
International Journal of Creative Research Thoughts, 9(4), 5585-5587.
9. Khalkar, O., Bhosale, T., Yadav, S., Galande, T., & Kadam, A. (2024). Automatic attendance system, using face detection and machine
learning. International Journal of Novel Research and Development (IJNRD), 9(2), 932-939. https://doi.org/10.55248/gengpi.5.0324.0634
10. Gupta, V., Kashyap, M., Gupta, V., and Singh, P. (2024). Smart attendance system using face recognition: A machine learning approach.
International Journal of Research Publication and Reviews, 5(3), 932-939. https://doi.org/10.55248/gengpi.5.0324.0634
11. Hasan, R. T., & Sallow, A. B. (2021). Face Detection and Recognition Using OpenCV. Journal of Soft Computing and Data Mining, 2(1),
86-97.https://doi.org/10.30880/jscdm.2021.02.02.008
12. Bansal, M. (2019). Implementation of Face Recognition on RaspberryPi using OpenCV, International Journal of Computer
Engineering and Technology (IJCET), 10(3):141-144. http://www.iaeme.com/IJCET/issues.asp?JType=IJCET&VType=10 &IType=3
2. Bansal, M. (2020). Face Recognition System for Attendance Using Face Descriptor Tool. SSRN Electronic Journal. Available at:
https://ssrn.com/abstract=3557027
3. Budiman, A., Fabian, F., Yaputera, R. A., Achmad, S., and Kurniawan, A., 2023. Student Attendance System with Face Recognition (LBPH
or CNN): Systematic Literature Review. Procedia Computer Science, 216, 31-38. https://doi.org/10.1016/j.procs.2022.12.108
4. Chintalapati, S., and Raghunadh, M. V. (2979). Automated attendance management system based on face recognition algorithms. 2013
IEEE International Conference on Computational Intelligence and Computing Research (ICCIC).
https://doi.org/10.1109/ICCIC.2013.6724266
5. Mridha, K., and Yousef, N. T. (2021). Study and Analysis of Implementing a Smart Attendance Management System Based on Face
Recognition Technique Using OpenCV and Machine Learning. International Journal of Creative Research Thoughts (IJCRT), 9(4), 5585-5587.
6. Suresh, V., Dumpa, S. C., Vankayala, C. D., Aduri, H., and Rapa, J. Facial Recognition Attendance System Using Python and OpenCV.
Procedia Computer Science, 216, 31-38, https://doi.org/10.1016/j.procs.2022.12.108
7. Smitha, S., Hegde, P. S. and Afshin, A. (2020). Face Recognition Based Attendance Management System. International Journal of
Engineering Research & Technology (IJERT) 9, no. 5: 1190-1192. https://doi.org/10.17577/IJERTV9IS050861
8. K. Mokashi, S. Kodag, P. Pawar, and Y. Shahare, Masked Face Recognition Based Attendance System Using Deep Learning, 2021,
International Journal of Creative Research Thoughts, 9(4), 5585-5587.
9. Khalkar, O., Bhosale, T., Yadav, S., Galande, T., & Kadam, A. (2024). Automatic attendance system, using face detection and machine
learning. International Journal of Novel Research and Development (IJNRD), 9(2), 932-939. https://doi.org/10.55248/gengpi.5.0324.0634
10. Gupta, V., Kashyap, M., Gupta, V., and Singh, P. (2024). Smart attendance system using face recognition: A machine learning approach.
International Journal of Research Publication and Reviews, 5(3), 932-939. https://doi.org/10.55248/gengpi.5.0324.0634
11. Hasan, R. T., & Sallow, A. B. (2021). Face Detection and Recognition Using OpenCV. Journal of Soft Computing and Data Mining, 2(1),
86-97.https://doi.org/10.30880/jscdm.2021.02.02.008
12. Bansal, M. (2019). Implementation of Face Recognition on RaspberryPi using OpenCV, International Journal of Computer
Engineering and Technology (IJCET), 10(3):141-144. http://www.iaeme.com/IJCET/issues.asp?JType=IJCET&VType=10 &IType=3
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