A Real-Time Face Recognition Attendance Using Machine Learning-Reference-Cited by-同舟云学术

A Real-Time Face Recognition Attendance Using Machine Learning

Published:2023 Issue: Volume: Page:91-107
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Adeline Umurerwa Marie^ORCID,Gaspard Harerimana^ORCID,Innocent Kabandana^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-34222-6_8

Reference32 articles.

1. Recfaces. The History of Biometrics. https://recfaces.com/articles/history-of-biometrics. (Accessed 09 Sept 2022)

2. Collection of biometric data and facial recognition (2022) eReader, https://www.mediadefence.org/ereader/publications/advanced-modules-on-digital-rights-and-freedom-of-expression-online/module-4-privacy-and-security-online/collection-ofbiometric-data-and-facial-recognition. (Accessed 21 Dec 2022)

3. Karthickraja, R., et al.: Covid-19 Prediction and symptom analysis using wearable sensors and IOT. Int. J. Pervasive Comput. Commun. 18(5), 499–507 (2020). https://doi.org/10.1108/ijpcc-09-2020-0146

4. Swaroop, K.N., et al.: A health monitoring system for vital signs using IoT. Internet of Things 5, 116–129 (2019). https://doi.org/10.1016/j.iot.2019.01.004

5. Coronavirus WHO(World Health Organization) (2022). https://www.who.int/health_topics/coronavirus#tab=tab_3. (Accessed 06 Sept 2022)

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