Vision-Based Facial Detection and Recognition for Attendance System Using Reinforcement Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6702-5_15
Reference20 articles.
1. Rathod, H., Ware, Y., Sane, S., Raulo, S., Pakhare, V., Rizvi, I.A.: Automated attendance system using machine learning approach. In: 2017 International Conference on Nascent Technologies in Engineering (ICNTE), pp. 1–5. IEEE (2017)
2. Arsenovic, M., Sladojevic, S., Anderla, A., Stefanovic, D.: FaceTime-deep learning based face recognition attendance system. In: 2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY), pp. 000053–000058. IEEE (2017)
3. Kuang, W., Baul, A.: A real-time attendance system using deep-learning face recognition (2020)
4. Damale, C.R., Pathak, B.V.: Face recognition based attendance system using machine learning algorithms. In: 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS), pp. 414–419. IEEE (2018)
5. Patil, V., Narayan, A., Ausekar, V., Dinesh, A.: Automatic students attendance marking system using image processing and machine learning. In: 2020 International Conference on Smart Electronics and Communication (ICOSEC), pp. 542–546. IEEE (2020)
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