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Gaze stability for liveness detection

Authors:

Farzin DeraviAuthors Info & Claims

Pattern Analysis & Applications, Volume 21, Issue 2

Pages 437 - 449

https://doi.org/10.1007/s10044-016-0587-2

Published: 01 May 2018 Publication History

Abstract

Spoofing attacks on biometric systems are one of the major impediments to their use for secure unattended applications. This paper explores features for face liveness detection based on tracking the gaze of the user. In the proposed approach, a visual stimulus is placed on the display screen, at apparently random locations, which the user is required to follow while their gaze is measured. This visual stimulus appears in such a way that it repeatedly directs the gaze of the user to specific positions on the screen. Features extracted from sets of collinear and colocated points are used to estimate the liveness of the user. Data are collected from genuine users tracking the stimulus with natural head/eye movements and impostors holding a photograph, looking through a 2D mask or replaying the video of a genuine user. The choice of stimulus and features are based on the assumption that natural head/eye coordination for directing gaze results in a greater accuracy and thus can be used to effectively differentiate between genuine and spoofing attempts. Tests are performed to assess the effectiveness of the system with these features in isolation as well as in combination with each other using score fusion techniques. The results from the experiments indicate the effectiveness of the proposed gaze-based features in detecting such presentation attacks.

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Cited By

Shen MWei YLiao ZZhu L(2021)IriTrackProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34635155:2(1-21)Online publication date: 24-Jun-2021
https://dl.acm.org/doi/10.1145/3463515
Jia SHu CGuo GXu Z(2019)A Database for Face Presentation Attack Using Wax Figure FacesNew Trends in Image Analysis and Processing – ICIAP 201910.1007/978-3-030-30754-7_5(39-47)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1007/978-3-030-30754-7_5

Index Terms

Gaze stability for liveness detection
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Object recognition
      2. Computer vision tasks
        Scene understanding
  2. Machine learning
2. Security and privacy
  1. Security services
    1. Authentication

Index terms have been assigned to the content through auto-classification.

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Published In

cover image Pattern Analysis & Applications

Pattern Analysis & Applications Volume 21, Issue 2

May 2018

313 pages

ISSN:1433-7541

EISSN:1433-755X

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Copyright © Copyright © 2018 Springer-Verlag London Ltd., part of Springer Nature.

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 May 2018

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Cited By

Shen MWei YLiao ZZhu L(2021)IriTrackProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34635155:2(1-21)Online publication date: 24-Jun-2021
https://dl.acm.org/doi/10.1145/3463515
Jia SHu CGuo GXu Z(2019)A Database for Face Presentation Attack Using Wax Figure FacesNew Trends in Image Analysis and Processing – ICIAP 201910.1007/978-3-030-30754-7_5(39-47)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1007/978-3-030-30754-7_5

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