Decision-level fusion strategies for correlated biometric classifiers

Abstract

The focus of this paper is on designing decision-level fusion strategies for correlated biometric classifiers. In this regard, two different strategies are investigated. In the first strategy, an optimal fusion rule based on the likelihood ratio test (LRT) and the chair Varshney rule (CVR) is discussed for correlated hypothesis testing where the thresholds… (More)
DOI: 10.1109/CVPRW.2008.4563104

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