Journal article
A confidence-based late fusion framework for audio-visual biometric identification
Pattern Recognition Letters, Vol.52, pp.65-71
2015
Abstract
This paper presents a confidence-based late fusion framework and its application to audio-visual biometric identification. We assign each biometric matcher a confidence value calculated from the matching scores it produces. Then a transformation of the matching scores is performed using a novel confidence-ratio (C-ratio) i.e., the ratio of a matcher confidence obtained at the test phase to the corresponding matcher confidence obtained at the training phase. We also propose modifications to the highest rank and Borda count rank fusion rules to incorporate the matcher confidence. We demonstrate by experiments that our proposed confidence-based fusion framework is more robust compared to the state-of-the-art late (score- and rank-level) fusion approaches.
Details
- Title
- A confidence-based late fusion framework for audio-visual biometric identification
- Authors/Creators
- M.R. Alam (Author/Creator) - The University of Western AustraliaM. Bennamoun (Author/Creator) - The University of Western AustraliaR. Togneri (Author/Creator) - The University of Western AustraliaF. Sohel (Author/Creator) - The University of Western Australia
- Publication Details
- Pattern Recognition Letters, Vol.52, pp.65-71
- Publisher
- Elsevier B.V.
- Identifiers
- 991005543111207891
- Copyright
- © 2014 Elsevier B.V.
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
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- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.17 Computer Vision & Graphics
- 4.17.118 Face Recognition
- Web Of Science research areas
- Computer Science, Artificial Intelligence
- ESI research areas
- Engineering