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Face recognition under occlusion for user authentication and invigilation in remotely distributed online assessments

Tavakolian, Niloofar, Nazemi, Azadeh ORCID: 0000-0002-1138-309X and Murray, Iain (2018) Face recognition under occlusion for user authentication and invigilation in remotely distributed online assessments. International Journal of Intelligent Defence Support Systems, 5 (4). pp. 277-297. ISSN 1755-1587

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Abstract

This paper proposes a method to address issues regarding uncontrolled conditions in face recognition. This method extracts affecting factor from the test sample utilizing mask projection. Current methods remove occlusion from the test sample and reconstruct it. Unlike these methods, the proposed method tries to add extracted occlusion to all normal training samples and compares the test sample with all synthetic affected training samples. The method has been applied for multi-factor authentication/ verification based on face biometrics. Obtained results indicate high accuracy, comparable to the best sparse method, in the lake of sufficient training samples for each class(single sample classes).

Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:Occlusion; IlluminationMulti-FactorAuthentication; Remote Assessment; Identification; Verification; Expression; Face Detection; Deep Learning1
Subjects:Computer Science > Machine learning
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:Inderscience
Official URL:http://dx.doi.org/10.1504/IJIDSS.2018.10021346
Copyright Information:©2018 Inderscience
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:23499
Deposited On:10 Jul 2019 14:16 by Azadeh Nazemi . Last Modified 31 Dec 2020 04:30

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