This paper proposes a unified framework for quality-based fusion of multimodal biometrics.
Quality-dependent fusion algorithms aim to dynamically combine several classifier …

Automatically verifying the identity of a person by means of biometrics (eg, face and
fingerprint) is an important application in our day-to-day activities such as accessing banking …

This paper investigates the effect of utterance duration to the calibration of a modern i-vector
speaker recognition system with probabilistic linear discriminant analysis (PLDA) modeling …

While existing multibiometic Dempster-Shafer theory fusion approaches have demonstrated
promising performance, they do not model the uncertainty appropriately, suggesting that …

The effectiveness of a biometric measurement and sensing system is directly related to the
performance generated from sensed data. This paper investigates a new approach to …

As biometric technology is rolled out on a larger scale, it will be a common scenario (known
as cross-device matching) to have a template acquired by one biometric device used by …

The notion of remote biometrics or biometrics at a distance is today of paramount importance
to provide a secure mean for user-friendly identification and surveillance. In 2007 the …

This paper studies the effect of short utterances and noise on the performance of automatic
speaker recognition. We focus on calibration aspects, and propose a calibration strategy that …

Indoor video surveillance systems often use the face modality to establish the identity of a
person of interest. However, the face image may not offer sufficient discriminatory …

Abstract Information fusion refers to the reconciliation of evidence presented by multiple
sources of information in order to generate a decision. In the context of biometrics, evidence …