Detecting Face Morphing Attacks by Analyzing the Directed Distances of Facial Landmarks Shifts-Reference-Cited by-同舟云学术

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

Published:2019 Issue: Volume: Page:518-534
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Damer Naser^ORCID,Boller Viola,Wainakh Yaza,Boutros Fadi,Terhörst Philipp,Braun Andreas,Kuijper Arjan

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-12939-2_36

Reference37 articles.

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3. Amos, B., Ludwiczuk, B., Satyanarayanan, M.: OpenFace: a general-purpose face recognition library with mobile applications. Technical report, CMU-CS-16-118, CMU School of Computer Science (2016)

4. Biometix Pty Ltd.: Face morphing dataset (for vulnerability research) (2017). http://www.biometix.com/2017/09/18/new-face-morphing-dataset-for-vulnerability-research/

5. Bolle, R., Pankanti, S.: Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society. Kluwer Academic Publishers, Norwell (1998)

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