The performance of a biometric system that relies on a single biometric modality (eg,
fingerprints only) is often stymied by various factors such as poor data quality or limited …

In recent years, along with the extraordinary diffusion of the Internet and a growing need for
personal verification in many daily applications, automatic signature verification is being …

Multibiometric systems fuse information from different sources to compensate for the
limitations in performance of individual matchers. We propose a framework for optimal …

The new era of technology has brought us to the point where it is convenient for people to
share their opinions over an abundance of platforms. These platforms have a provision for …

We document methods for the quantitative evaluation of systems that produce a scalar
summary of a biometric sample's quality. We are motivated by a need to test claims that …

Biometric identity verification refers to technologies used to measure human physical or
behavioral characteristics, which offer a radical alternative to passports, ID cards, driving …

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 …

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

Soft biometric information extracted from a human body (eg, height, gender, skin color, hair
color, and so on) is ancillary information easily distinguished at a distance but it is not fully …

In this paper, we address the security of multimodal biometric systems when one of the
modes is successfully spoofed. We propose two novel fusion schemes that can increase the …