Gaze stability for liveness detection
- Submitting institution
-
The University of Kent
- Unit of assessment
- 12 - Engineering
- Output identifier
- 6289
- Type
- D - Journal article
- DOI
-
10.1007/s10044-016-0587-2
- Title of journal
- Pattern Analysis and Applications
- Article number
- -
- First page
- 437
- Volume
- 21
- Issue
- 2
- ISSN
- 1433-7541
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2018
- URL
-
https://kar.kent.ac.uk/58177/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper proposes a novel approach to the detection of spoofing attacks in biometric systems based on gaze estimation. Results indicate that a high detection performance is achievable using a short capture duration making such an approach feasible for practical systems. The paper’s significance stems from its contributions which include a mathematical generalization of the originally proposed features to incorporate more complex stimulus trajectories used as a challenge and extension of the experimental work to include more test subjects and presentation attack scenarios. This work has been the basis of a successful CDE/DSTL funded project.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -