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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Hybrid fusion for biometrics: Combining score-level and decision-level fusion
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
Qian Tao, Signals and Systems Group, University of Twente Postbus 217, 7500AE Enschede, the Netherlands
Raymond Veldhuis, Signals and Systems Group, University of Twente Postbus 217, 7500AE Enschede, the Netherlands
A general framework of fusion at decision level, which works on ROCs instead of matching scores, is investigated. Under this framework, we further propose a hybrid fusion method, which combines the score-level and decision-level fusions, taking advantage of both fusion modes. The hybrid fusion adaptively tunes itself between the two levels of fusion, and improves the final performance over the original two levels. The proposed hybrid fusion is simple and effective for combining different biometrics.
Citation:
Qian Tao, Raymond Veldhuis, "Hybrid fusion for biometrics: Combining score-level and decision-level fusion," cvprw, pp.1-6, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
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