Title: Resilience of luminance based liveness tests under attacks with processed imposter images
Authors: Omar, Luma
Ivrissimtzis, Ioannis
Citation: WSCG 2016: poster papers proceedings: 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 79-82.
Issue Date: 2016
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: wscg.zcu.cz/WSCG2016/!!_CSRN-2603.pdf
ISBN: 978-80-86943-59-6
ISSN: 2464-4617
Keywords: zkoušky životnosti;rozpoznání obličeje;světelné modely;rozdıl dvou Gaussiánů;logistická regrese
Keywords in different language: liveness tests;face recognition;luminance models;difference of Gaussians;logistic regression
Abstract: Liveness tests are techniques employed by face recognition authentication systems, aiming at verifying that a live face rather than a photo is standing in front of the system camera. In this paper, we study the resilience of a standard liveness test under imposter photo attacks, under the additional assumption that the photos used in the attack may have been processed by common image processing operations such as sharpening, smoothing and corruption with salt and pepper noise. The results verify and quantify the claim that this type of liveness tests rely on the imposter photo images being less sharp than live face images.
Rights: © Václav Skala - Union Agency
Appears in Collections:WSCG 2016: Poster Papers Proceedings

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