Fuzzy Interval-Valued Multi Criteria Based Decision Making for Ranking Features in Multi-Modal 3D Face Recognition
- Submitting institution
-
University of Hertfordshire
- Unit of assessment
- 12 - Engineering
- Output identifier
- 16267261
- Type
- D - Journal article
- DOI
-
10.1016/j.fss.2017.06.002
- Title of journal
- Fuzzy Sets and Systems
- Article number
- -
- First page
- 25
- Volume
- 337
- Issue
- -
- ISSN
- 0165-0114
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2017
- 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
-
0
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Multi-modal face biometrics is a necessity to meet real world performance metrics. For big data applications, facial recognition is a major challenge. The variety in these databases and the volume of face samples demand powerful discriminative features. This work addresses the problem by mapping combination of subsets of a rich set of features to varied databases and face recognition models selected through objective functions. It provides a mathematical framework that models the fusion of experts’ decision-making under uncertainty in a multi-modal face biometric system. It shows a step improvement in performance in a rigorous test.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
