Real world conditions differ from ideal or laboratory conditions, causing mismatch between
training and testing phases, and consequently, inducing performance degradation in …

A function-based approach to on-line signature verification is presented. The system uses a
set of time sequences and Hidden Markov Models (HMMs). Development and evaluation …

This work studies the use of deep neural networks (DNNs) to address automatic language
identification (LID). Motivated by their recent success in acoustic modelling, we adapt DNNs to …

A new multimodal biometric database designed and acquired within the framework of the
European BioSecure Network of Excellence is presented. It is comprised of more than 600 …

One of the open issues in fingerprint verification is the lack of robustness against image-quality
degradation. Poor-quality images result in spurious and missing features, thus degrading …

A new multimodal biometric database, acquired in the framework of the BiosecurID project, is
presented together with the description of the acquisition setup and protocol. The database …

Securing the exchange of intellectual property and providing protection to multimedia
contents in distribution systems have enabled the advent of digital rights management (DRM) …

The baseline corpus of a new multimodal database, acquired in the framework of the FP6 EU
BioSec Integrated Project, is presented. The corpus consists of fingerprint images acquired …

This work explores the use of Long Short-Term Memory (LSTM) recurrent neural networks (RNNs)
for automatic language identification (LID). The use of RNNs is motivated by their …

Forensic DNA profiling is acknowledged as the model for a scientifically defensible
approach in forensic identification science, as it meets the most stringent court admissibility …