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Authors: Andrey Makrushin ; Tom Neubert and Jana Dittmann

Affiliation: Otto-von-Guericke University of Magdeburg, Universitaetsplatz 2, Magdeburg and Germany

Keyword(s): Facial Morphing, Automated Border Control, Human Experiment, Face Recognition, Morphing Detection.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Multimedia Forensics

Abstract: Facial morphing, if applied to a biometric portrait intended for an identity document application, compromises further identity verification by means of the issued document. An electronic machine readable travel document is a prime target of a face morphing attack because a successful attack allows a wanted criminal for illicit border crossing. The open question is whether human examiners and algorithms can be fooled only by professionally created manual morphs or even by automatically generated morphs with evident visual artifacts. In this paper, we introduce a border control simulation to examine the ability of humans in recognizing morphed passport photographs as well as in mismatching morphed passport photographs against "live" faces of travelers. The error rates of humans are compared with those of algorithms to emphasize the necessity for computer-aided support of border guards.

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Paper citation in several formats:
Makrushin, A.; Neubert, T. and Dittmann, J. (2019). Humans Vs. Algorithms: Assessment of Security Risks Posed by Facial Morphing to Identity Verification at Border Control. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP; ISBN 978-989-758-354-4; ISSN 2184-4321, SciTePress, pages 513-520. DOI: 10.5220/0007378905130520

@conference{visapp19,
author={Andrey Makrushin. and Tom Neubert. and Jana Dittmann.},
title={Humans Vs. Algorithms: Assessment of Security Risks Posed by Facial Morphing to Identity Verification at Border Control},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP},
year={2019},
pages={513-520},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007378905130520},
isbn={978-989-758-354-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP
TI - Humans Vs. Algorithms: Assessment of Security Risks Posed by Facial Morphing to Identity Verification at Border Control
SN - 978-989-758-354-4
IS - 2184-4321
AU - Makrushin, A.
AU - Neubert, T.
AU - Dittmann, J.
PY - 2019
SP - 513
EP - 520
DO - 10.5220/0007378905130520
PB - SciTePress