In this paper, we provide an overview of the fundamentals of biometric identification,
together with a description of the main biometric technologies currently in use, all of them …

Gaussian Mixture Models (GMMs) and Radial Basis Function (RBF) networks are two of the
promising neural models for pattern classification. In this laboratory exercise, your task is to …

Human facial images provide the demographic information, such as ethnicity and gender.
Conversely, ethnicity and gender also play an important role in face-related applications …

We propose the use of eye-movements as a biometric. A case study investigating potentials
of eye-movement data for biometric purposes was conducted. Twelve participants' eye …

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 …

With the rapid development of the World Wide Web, people benefit more and more from the
sharing of information. However, Web pages with obscene, harmful, or illegal content can be …

Front-end or feature extractor is the first component in an automatic speaker recognition
system. Feature extraction transforms the raw speech signal into a compact but effective …

This paper provides a review of multimodal biometric person authentication systems. The
paper begins with an introduction to biometrics, its advantages, disadvantages, and …

This article first provides an review of important concepts in the field of information fusion,
followed by a review of important milestones in audio–visual person identification and …

This paper presents automatic face authentication from facial surface analysis. This
geometrical approach was motivated by difficulties encountered when considering frontal …