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 …

Biometric systems are used for the verification and identification of individuals using their
physiological or behavioral features. These features can be categorized into unimodal and …

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

The blood vessel structure of the sclera is unique to each person, and it can be remotely
obtained nonintrusively in the visible wavelengths. Therefore, it is well suited for human …

The present paper is Part 2 in this series of two papers. In Part 1 we provided an introduction
to Multiple Classifier Systems (MCS) with a focus into the fundamentals: basic nomenclature …

Mobile Biometrics (MoBio): Joint Face and Voice Verification for a Mobile Platform Page 1
Mobile Biometrics (MoBio): Joint Face and Voice Verification for a Mobile Platform PA …

The goal of information security is to prevent unauthorized access to data. There are several
conventional ways to confirm user identity, such as using a password, user name, and keys …

In this paper, a modification of the Sugeno integral with interval type-2 fuzzy logic is
proposed. The modification includes changing the original equations of the Sugeno …

Cross-view gait recognition authenticates a person using a pair of gait image sequences
with different observation views. View difference causes degradation of gait recognition …

This paper proposes a unified framework for quality-based fusion of multimodal biometrics.
Quality-dependent fusion algorithms aim to dynamically combine several classifier …