Predictive Modeling of Trait-Aging Invariant Face Recognition System Using Machine Learning-Reference-Cited by-同舟云学术

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Predictive Modeling of Trait-Aging Invariant Face Recognition System Using Machine Learning

Published:2019-12-19 Issue: Volume: Page:431-440
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Okokpujie Kennedy,Apeh Simon

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-1465-4_43

Reference19 articles.

1. Coleman SR, Grover R (2006) The anatomy of the aging face: volume loss and changes in 3-dimensional topography. Aesthetic Surg J 26(1_Supplement):S4-S9

2. Jain AK, Nandakumar K, Ross A (2016) 50 years of biometric research: Accomplishments, challenges, and opportunities. Pattern Recogn Lett 79:80–105

3. El Khiyari H, Wechsler H (2016) Face verification subject to varying (age, ethnicity, and gender) demographics using deep learning. J Biom Biostat 7:323

4. Okokpujie K, Noma-Osaghae E, John S, Grace KA, Okokpujie I (2017) A face recognition attendance system with GSM notification. In: IEEE 3rd (NIGERCON)

5. Okokpujie K, Noma-Osaghae E, John S, Oputa R (2017) Development of a facial recognition system with email identification message relay mechanism. In: International conference on computing networking and informatics

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2. Implementation of an Embedded Masked Face Recognition System using Huskylens System-On-Chip Module;2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON);2022-04-17

3. Upasthiti: A Feature Learning-Inspired Remote Attendance Management System;Proceedings of International Conference on Advanced Computing Applications;2021-11-24

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