Robust multimodal face and fingerprint fusion in the presence of spoofing attacks
- Submitting institution
-
The University of Reading
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 48392
- Type
- D - Journal article
- DOI
-
10.1016/j.patcog.2015.08.007
- Title of journal
- Pattern Recognition
- Article number
- -
- First page
- 17
- Volume
- 50
- Issue
- -
- ISSN
- 0031-3203
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2016
- URL
-
-
- 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
-
3
- Research group(s)
-
8 - CV
- Citation count
- 28
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The significance of this paper is that it shows how spoofing detection and recognition can mutually benefit from each other, specifically how 1-median filtering can be used as a novel multibiometric fusion method integrating liveness and recognition scores. The methods were employed in traveller identification in the EU FastPass project (www.fastpass-project.eu) and contributed to securing a new grant (EU PROTECT project, www.projectprotect.eu).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -