Class Attendance Generation through Multiple Facial Detection and Recognition Using Artificial Neural Network-Reference-Cited by-同舟云学术

Class Attendance Generation through Multiple Facial Detection and Recognition Using Artificial Neural Network

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 International Conference on Machine Learning and Machine Intelligence - MLMI2018
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Author:

Castillo Ranielle Vincent C.¹,Catanaoan Mel-john T.¹,Obliopas John Ferdinand E.¹,Linsangan Noel B.¹

Affiliation:

1. Mapúa University, Intramuros Manila Philippines

Publisher

ACM Press

Reference22 articles.

1. Ognjen Bjelica, Danijel Mijic. "Hardware design of a reader device in RFID-based class attendance system." Telecommunications Forum (TELFOR) (2012); 5--7

2. Sanja Maravic Cisar, et al. "Smartphone application for tracking student's class attendance." Intelligent Systems and Informatics (SISY), 2016 IEEE 14th International Symposium (2016): 6--8

3. JiGwan Park, et al. "Multiple human tracking using multiple kinects for an attendance check system of a smart class." Ubiquitous Robots and Ambient Intelligence (URAI), 2013 10th International Conference" (2013); p. 5

4. Victor Oluwatobiloba Adeniji, et al. "Development of an Online Biometric-enabled Class Attendance Register System." IST-Africa Week Conference (2016); 7--9

5. Revathy, N., T. Guhan. "Face Recognition System Using Back Propagation Artificial Neural Networks." International Journal of Advanced Engineering Technology 3.1 (2012): 321--324. Web. 31 Oct. 2015.

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