Dijana Petrovska-Delacrétaz

TL;DR: An introduction proposes a modular scheme of the training and test phases of a speaker verification system, and the most commonly speech parameterization used in speaker verification, namely, cepstral analysis, is detailed.

TL;DR: The BIOMET multimodal database for person authentication is described, including face, voice, fingerprint, hand and signature data, and details about the acquisition protocols of each modality are given.

TL;DR: The requirements for effective privacy preservation are established, generic cryptography-based solutions are reviewed, followed by specific techniques that are applicable to speaker characterisation and speech characterisation (biometrics and non-biometric applications), and common, empirical evaluation metrics for the assessment of privacy-preserving technologies for speech data are outlined.

TL;DR: A two factor scheme to generate cancelable iris templates using iris-biometric and password is proposed and a novel way to use error correcting codes (ECC) to reduce the variabilities in biometric data.

TL;DR: The acquisition protocols of MyIDea are described, a new large and realistic multimodal biometric database designed to conduct research experiments in Identity Verification (IV) and it implements realistic scenarios in an open-set framework.