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The Effect of Wearing a Mask on Face Recognition Performance: an Exploratory Study

Damer, Naser and Grebe, Jonas Henry and Chen, Cong and Boutros, Fadi and Kirchbuchner, Florian and Kuijper, Arjan (2020):
The Effect of Wearing a Mask on Face Recognition Performance: an Exploratory Study.
pp. 1-10, 19th International Conference of the Biometrics Special Interest Group (BIOSIG 2020), virtual Conference, 16.-18.09., ISBN 978-3-88579-700-5,
[Conference or Workshop Item]

Abstract

Face recognition has become essential in our daily lives as a convenient and contactless method of accurate identity verification. Process such as identity verification at automatic border control gates or the secure login to electronic devices are increasingly dependant on such technologies. The recent COVID-19 pandemic have increased the value of hygienic and contactless identity verification. However, the pandemic led to the wide use of face masks, essential to keep the pandemic under control. The effect of wearing a mask on face recognition in a collaborative environment is currently sensitive yet understudied issue. We address that by presenting a specifically collected database containing three session, each with three different capture instructions, to simulate realistic use cases.We further study the effect of masked face probes on the behaviour of three top-performing face recognition systems, two academic solutions and one commercial off-the-shelf (COTS) system.

Item Type: Conference or Workshop Item
Erschienen: 2020
Creators: Damer, Naser and Grebe, Jonas Henry and Chen, Cong and Boutros, Fadi and Kirchbuchner, Florian and Kuijper, Arjan
Title: The Effect of Wearing a Mask on Face Recognition Performance: an Exploratory Study
Language: English
Abstract:

Face recognition has become essential in our daily lives as a convenient and contactless method of accurate identity verification. Process such as identity verification at automatic border control gates or the secure login to electronic devices are increasingly dependant on such technologies. The recent COVID-19 pandemic have increased the value of hygienic and contactless identity verification. However, the pandemic led to the wide use of face masks, essential to keep the pandemic under control. The effect of wearing a mask on face recognition in a collaborative environment is currently sensitive yet understudied issue. We address that by presenting a specifically collected database containing three session, each with three different capture instructions, to simulate realistic use cases.We further study the effect of masked face probes on the behaviour of three top-performing face recognition systems, two academic solutions and one commercial off-the-shelf (COTS) system.

ISBN: 978-3-88579-700-5
Uncontrolled Keywords: Biometrics, Face recognition, Performance evaluation, Machine learning
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
20 Department of Computer Science > Mathematical and Applied Visual Computing
Event Title: 19th International Conference of the Biometrics Special Interest Group (BIOSIG 2020)
Event Location: virtual Conference
Event Dates: 16.-18.09.
Date Deposited: 29 Sep 2020 07:51
Official URL: https://dl.gi.de/handle/20.500.12116/34316
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