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Topology-Based 3D Reconstruction of Mid-Level Primitives in Man-Made Environments Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Detecting Face Morphing Attacks by Analyzing the Directed Distances of Facial Landmarks Shifts

Authors : Naser Damer, Viola Boller, Yaza Wainakh, Fadi Boutros, Philipp Terhörst, Andreas Braun, Arjan Kuijper

Published in: Pattern Recognition

Publisher: Springer International Publishing

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Abstract

Face morphing attacks create face images that are verifiable to multiple identities. Associating such images to identity documents lead to building faulty identity links, causing attacks on operations like border crossing. Most of previously proposed morphing attack detection approaches directly classified features extracted from the investigated image. We discuss the operational opportunity of having a live face probe to support the morphing detection decision and propose a detection approach that take advantage of that. Our proposed solution considers the facial landmarks shifting patterns between reference and probe images. This is represented by the directed distances to avoid confusion with shifts caused by other variations. We validated our approach using a publicly available database, built on 549 identities. Our proposed detection concept is tested with three landmark detectors and proved to outperform the baseline concept based on handcrafted and transferable CNN features.

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Metadata
Title
Detecting Face Morphing Attacks by Analyzing the Directed Distances of Facial Landmarks Shifts
Authors
Naser Damer
Viola Boller
Yaza Wainakh
Fadi Boutros
Philipp Terhörst
Andreas Braun
Arjan Kuijper
Copyright Year
2019
Book
Pattern Recognition

Print ISBN: 978-3-030-12938-5

Electronic ISBN: 978-3-030-12939-2

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-12939-2_36

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