Some biometric systems perform well, and others perform poorly. This chapter examines in
detail the methods for establishing and reporting system accuracy. The manner in which a …

The MBioID initiative has been set up to address the following germane question: What and
how biometric technologies could be deployed in identity documents in the foreseeable …

Existing approaches to biometric classification with quality measures make a clear
distinction between the single-modality applications and the multi-modal scenarios. This …

Face verification is a difficult classification problem due to the fact that appearance of a face
can be altered by many extraneous factors, including head pose, illumination conditions, etc …

During the past decades profiling has gained ground as both a technique and a technology
providing automated knowledge construction of individuals or groups of people. This interest …

Real-world deployment of unimodal and multimodal biometric systems often have to
contend with degraded signal quality and erratic behaviour of the biometric data being …

This paper focuses on the estimation of credence in the correctness of classification
decisions produced by a biometric identity verification system. We adopt the concept of …

The classification reliability is an essential problem in biometric verification systems. In the
presence of a possible mismatch between system's training and testing conditions, a …

Non-frontal illumination of objects may cause specular reflections and strong self-
shadowing. Those phenomena change the appearance of objects to such an extent that …

Biometric identity verification systems frequently face the challenges of non-controlled
conditions of data acquisition. Under such conditions biometric signals may suffer from …