Author:
Chetty Shanil,Sharma Neeraj Anand
Publisher
Springer Nature Singapore
Reference14 articles.
1. Gavkare, A., Prasad, R., Mandlik, A., Mutkule, A.: Face recognition smart attendance system-a survey. Int. Res. J. Eng. Technol. (2022). https://www.irjet.net/
2. Sayeed, S., Hossen, J., Kalaiarasi, S.M.A., Jayakumar, V., Yusof, I., Samraj, A.: Real-time face recognition for attendance monitoring system 1. J. Theor. Appl. Inf. Technol. 15(1) (2017). https://www.jatit.org/
3. Soniya, V., Sri, R.S., Titty, K.S., Ramakrishnan, R., Sivakumar, S.: Attendance automation using face recognition biometric authentication. In: 2017 International Conference on Power and Embedded Drive Control (ICPEDC), 2017, pp. 122–127 (2017). https://doi.org/10.1109/ICPEDC.2017.8081072
4. Harikrishnan, J., Sudarsan, A., Sadashiv, A., Ajai, R.A.S.: Vision-face recognition attendance monitoring system for surveillance using deep learning technology and computer vision. In: 2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN), 2019, pp. 1–5 (2019).https://doi.org/10.1109/ViTECoN.2019.8899418
5. Kar, N., Deb Barma, M., Saha, A., Pal, D.: Study of implementing automated attendance system using face recognition technique. Int. J. Comput. Commun. Eng. 100–103 (2012). https://doi.org/10.7763/IJCCE.2012.V1.28