A Multi-detector Solution Towards an Accurate and Generalized Detection of Face Morphing Attacks-Reference-Cited by-同舟云学术

A Multi-detector Solution Towards an Accurate and Generalized Detection of Face Morphing Attacks

Published:2019-07 Issue: Volume: Page:
ISSN:
Container-title:2019 22th International Conference on Information Fusion (FUSION)
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Author:

Damer Naser¹,Zienert Steffen²,Wainakh Yaza²,Saladie Alexandra Mosegui²,Kirchbuchner Florian¹,Kuijper Arjan¹

Affiliation:

1. Mathematical and Applied Visual Computing, TU Darmstadt,Darmstadt,Germany

2. Fraunhofer Institute for Computer Graphics Research IGD,Darmstadt,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8977236/9011156/09011378.pdf?arnumber=9011378

Reference35 articles.

1. Biometric source weighting in multi-biometric fusion: Towards a generalized and robust solution;damer;22nd European Signal Processing Conference EUSIPCO 2014 Lisbon Portugal September 1–5 2014,0

2. Face Recognition with Local Binary Patterns

3. Deep Face Recognition

4. Biometric Systems under Morphing Attacks: Assessment of Morphing Techniques and Vulnerability Reporting

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2. Depth-guided Robust Face Morphing Attack Detection;2023 IEEE International Joint Conference on Biometrics (IJCB);2023-09-25

3. Towards Generalizable Morph Attack Detection with Consistency Regularization;2023 IEEE International Joint Conference on Biometrics (IJCB);2023-09-25

4. Two-stage morph detection scheme for face and iris biometrics;Multimedia Tools and Applications;2023-04-22

5. MASK-MORPH: Does Morphing of Custom 3D Face Masks Threatens the Face Recognition Systems?;2022 18th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS);2022-11-29