Face Recognition Systems Under Morphing Attacks: A Survey

Face Recognition Systems Under Morphing Attacks: A Survey

Recently, researchers found that the intended generalizability of (deep) face recognition systems increases their vulnerability against attacks. In particular, the attacks based on morphed face images pose a severe security risk to face recognition systems. In the last few years, the topic of (face)...

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Main Authors: Ulrich Scherhag, Christian Rathgeb, Johannes Merkle, Ralph Breithaupt, Christoph Busch
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Biometrics
face morphing attack
face recognition
image morphing
morphing attack detection
Online Access:https://ieeexplore.ieee.org/document/8642312/
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spelling doaj-a6338874086f41d2851db5fce7002cf02021-03-29T22:03:29ZengIEEEIEEE Access2169-35362019-01-017230122302610.1109/ACCESS.2019.28993678642312Face Recognition Systems Under Morphing Attacks: A SurveyUlrich Scherhag0https://orcid.org/0000-0002-6280-048XChristian Rathgeb1Johannes Merkle2Ralph Breithaupt3Christoph Busch4da/sec–Biometrics and Internet Security Research Group, Hochschule Darmstadt, Darmstadt, Germanyda/sec–Biometrics and Internet Security Research Group, Hochschule Darmstadt, Darmstadt, Germanysecunet Security Networks AG, Essen, GermanyFederal Office of Information Security (BSI), Bonn, Germanyda/sec–Biometrics and Internet Security Research Group, Hochschule Darmstadt, Darmstadt, GermanyRecently, researchers found that the intended generalizability of (deep) face recognition systems increases their vulnerability against attacks. In particular, the attacks based on morphed face images pose a severe security risk to face recognition systems. In the last few years, the topic of (face) image morphing and automated morphing attack detection has sparked the interest of several research laboratories working in the field of biometrics and many different approaches have been published. In this paper, a conceptual categorization and metrics for an evaluation of such methods are presented, followed by a comprehensive survey of relevant publications. In addition, technical considerations and tradeoffs of the surveyed methods are discussed along with open issues and challenges in the field.https://ieeexplore.ieee.org/document/8642312/Biometricsface morphing attackface recognitionimage morphingmorphing attack detection
collection DOAJ
language English
format Article
sources DOAJ
author Ulrich Scherhag
Christian Rathgeb
Johannes Merkle
Ralph Breithaupt
Christoph Busch
spellingShingle Ulrich Scherhag
Christian Rathgeb
Johannes Merkle
Ralph Breithaupt
Christoph Busch
Face Recognition Systems Under Morphing Attacks: A Survey
IEEE Access
Biometrics
face morphing attack
face recognition
image morphing
morphing attack detection
author_facet Ulrich Scherhag
Christian Rathgeb
Johannes Merkle
Ralph Breithaupt
Christoph Busch
author_sort Ulrich Scherhag
title Face Recognition Systems Under Morphing Attacks: A Survey
title_short Face Recognition Systems Under Morphing Attacks: A Survey
title_full Face Recognition Systems Under Morphing Attacks: A Survey
title_fullStr Face Recognition Systems Under Morphing Attacks: A Survey
title_full_unstemmed Face Recognition Systems Under Morphing Attacks: A Survey
title_sort face recognition systems under morphing attacks: a survey
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description Recently, researchers found that the intended generalizability of (deep) face recognition systems increases their vulnerability against attacks. In particular, the attacks based on morphed face images pose a severe security risk to face recognition systems. In the last few years, the topic of (face) image morphing and automated morphing attack detection has sparked the interest of several research laboratories working in the field of biometrics and many different approaches have been published. In this paper, a conceptual categorization and metrics for an evaluation of such methods are presented, followed by a comprehensive survey of relevant publications. In addition, technical considerations and tradeoffs of the surveyed methods are discussed along with open issues and challenges in the field.
topic Biometrics
face morphing attack
face recognition
image morphing
morphing attack detection
url https://ieeexplore.ieee.org/document/8642312/
work_keys_str_mv AT ulrichscherhag facerecognitionsystemsundermorphingattacksasurvey
AT christianrathgeb facerecognitionsystemsundermorphingattacksasurvey
AT johannesmerkle facerecognitionsystemsundermorphingattacksasurvey
AT ralphbreithaupt facerecognitionsystemsundermorphingattacksasurvey
AT christophbusch facerecognitionsystemsundermorphingattacksasurvey
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