Multibiometric systems

556 citations recorded by the source corpus.

The latest research indicates using a combination of biometric avenues for human identification is more effective, and far more challenging.

How researchers see this paper

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Multi-Factor Authentication: A Survey (2018, background): “This was well studied over past decades in classical statistical decision theory from the authentication perspective [69,70].”
Score normalization in multimodal biometric systems (2005, background): “, unimodal biometric systems) are often affected by several practical problems like noisy sensor data, non-universality and/or lack of distinctiveness of the biometric trait, unacceptable error rates, and spoof attacks [2].”
Open set face recognition using transduction (2005, background): “Note that data fusion for the outputs of different face recognition engines is a particular case of information fusion [30] for multi(modal)biometric systems [13] where different modalities, e.”
A biometric identification system based on eigenpalm and eigenfinger features (2005, unknown): “Index Terms—Biometrics, multimodal systems, hand-based identification, K-L transform, eigenpalms, eigenfingers.”
A survey of biometric recognition methods (2004, background): “192 Fusion at the matching score level seems to be the logical choice as it is relatively easy to access and combine scores presented by the different modalities [12].”
Human computing and machine understanding of human behavior: a survey (2006, background): “Since most of these problems can be addressed by using multiple biometrics [39], [72] multimodal”