Biometric person identity authentication is gaining more and more attention. The
authentication task performed by an expert is a binary classification problem: reject or accept …

Automatic on-line signature verification is an intriguing intellectual challenge with many
practical applications. I review the context of this problem and then describe my own …

Unsupervised or unlabeled learning approaches for network anomaly detection have been
recently proposed. In particular, recent work on unlabeled anomaly detection focused on …

We draw on cognitive and behavioural theories and on the artificial intelligence literature in
order to propose a framework of future operator–workstation interaction in the 'Industry …

Results are presented for the largest experimental study to date that investigates the
comparison and combination of 2D and 3D face recognition. To our knowledge, this is also …

Biometric systems that use a single biometric trait have to contend with noisy data, restricted
degrees of freedom, failure-to-enroll problems, spoof attacks, and unacceptable error rates …

This paper describes a new software-based registration and fusion of visible and thermal
infrared (IR) image data for face recognition in challenging operating environments that …

In many real-world applications, unimodal biometric systems often face significant limitations
due to sensitivity to noise, intraclass variability, data quality, nonuniversality, and other …

We provide an introduction to Multiple Classifier Systems (MCS) including basic
nomenclature and describing key elements: classifier dependencies, type of classifier …

This paper investigates a new approach for the personal recognition using rank-level
combination of multiple biometrics representations. There has been very little effort to study …