Extended evaluation of the effect of real and simulated masks on face recognition performance

Abstract Face recognition is an essential technology in our daily lives as a contactless and convenient method of accurate identity verification. Processes such as secure login to electronic devices or identity verification at automatic border control gates are increasingly dependent on such technol...

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Main Authors: Naser Damer, Fadi Boutros, Marius Süßmilch, Florian Kirchbuchner, Arjan Kuijper
Format: Article
Language:English
Published: Hindawi-IET 2021-09-01
Series:IET Biometrics
Subjects:
Online Access:https://doi.org/10.1049/bme2.12044
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author Naser Damer
Fadi Boutros
Marius Süßmilch
Florian Kirchbuchner
Arjan Kuijper
author_facet Naser Damer
Fadi Boutros
Marius Süßmilch
Florian Kirchbuchner
Arjan Kuijper
author_sort Naser Damer
collection DOAJ
description Abstract Face recognition is an essential technology in our daily lives as a contactless and convenient method of accurate identity verification. Processes such as secure login to electronic devices or identity verification at automatic border control gates are increasingly dependent on such technologies. The recent COVID‐19 pandemic has increased the focus on hygienic and contactless identity verification methods. The pandemic has led to the wide use of face masks, essential to keep the pandemic under control. The effect of mask‐wearing on face recognition in a collaborative environment is currently a sensitive yet understudied issue. Recent reports have tackled this by using face images with synthetic mask‐like face occlusions without exclusively assessing how representative they are of real face masks. These issues are addressed by presenting a specifically collected database containing three sessions, each with three different capture instructions, to simulate real use cases. The data are augmented to include previously used synthetic mask occlusions. Further studied is the effect of masked face probes on the behaviour of four face recognition systems—three academic and one commercial. This study evaluates both masked‐to‐non‐masked and masked‐to‐masked face comparisons. In addition, real masks in the database are compared with simulated masks to determine their comparative effects on face recognition performance.
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spelling doaj.art-f1ceb08654734e8fa48aaa9846f6961b2024-11-02T04:13:30ZengHindawi-IETIET Biometrics2047-49382047-49462021-09-0110554856110.1049/bme2.12044Extended evaluation of the effect of real and simulated masks on face recognition performanceNaser Damer0Fadi Boutros1Marius Süßmilch2Florian Kirchbuchner3Arjan Kuijper4Fraunhofer Institute for Computer Graphics Research IGD Darmstadt GermanyFraunhofer Institute for Computer Graphics Research IGD Darmstadt GermanyFraunhofer Institute for Computer Graphics Research IGD Darmstadt GermanyFraunhofer Institute for Computer Graphics Research IGD Darmstadt GermanyFraunhofer Institute for Computer Graphics Research IGD Darmstadt GermanyAbstract Face recognition is an essential technology in our daily lives as a contactless and convenient method of accurate identity verification. Processes such as secure login to electronic devices or identity verification at automatic border control gates are increasingly dependent on such technologies. The recent COVID‐19 pandemic has increased the focus on hygienic and contactless identity verification methods. The pandemic has led to the wide use of face masks, essential to keep the pandemic under control. The effect of mask‐wearing on face recognition in a collaborative environment is currently a sensitive yet understudied issue. Recent reports have tackled this by using face images with synthetic mask‐like face occlusions without exclusively assessing how representative they are of real face masks. These issues are addressed by presenting a specifically collected database containing three sessions, each with three different capture instructions, to simulate real use cases. The data are augmented to include previously used synthetic mask occlusions. Further studied is the effect of masked face probes on the behaviour of four face recognition systems—three academic and one commercial. This study evaluates both masked‐to‐non‐masked and masked‐to‐masked face comparisons. In addition, real masks in the database are compared with simulated masks to determine their comparative effects on face recognition performance.https://doi.org/10.1049/bme2.12044biometrics (access control)data analysisdiseasesface recognitionepidemics
spellingShingle Naser Damer
Fadi Boutros
Marius Süßmilch
Florian Kirchbuchner
Arjan Kuijper
Extended evaluation of the effect of real and simulated masks on face recognition performance
IET Biometrics
biometrics (access control)
data analysis
diseases
face recognition
epidemics
title Extended evaluation of the effect of real and simulated masks on face recognition performance
title_full Extended evaluation of the effect of real and simulated masks on face recognition performance
title_fullStr Extended evaluation of the effect of real and simulated masks on face recognition performance
title_full_unstemmed Extended evaluation of the effect of real and simulated masks on face recognition performance
title_short Extended evaluation of the effect of real and simulated masks on face recognition performance
title_sort extended evaluation of the effect of real and simulated masks on face recognition performance
topic biometrics (access control)
data analysis
diseases
face recognition
epidemics
url https://doi.org/10.1049/bme2.12044
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AT mariussußmilch extendedevaluationoftheeffectofrealandsimulatedmasksonfacerecognitionperformance
AT floriankirchbuchner extendedevaluationoftheeffectofrealandsimulatedmasksonfacerecognitionperformance
AT arjankuijper extendedevaluationoftheeffectofrealandsimulatedmasksonfacerecognitionperformance