Biometrics, similar to other pattern recognition systems, are essentially based on data
collection and learning techniques. In this chapter, we will first give an overview on the …

Machine Learning for Biometrics: Concepts, Algorithms and Applications highlights the
fundamental concepts of machine learning, processing and analyzing data from biometrics …

Special Issue on Biometrics: Algorithms and Applications Page 1 SCANNING THE ISSUE
Special Issue on Biometrics: Algorithms and Applications BY RAMA CHELLAPPA, Fellow IEEE …

We are entering the era of big data, and machine learning can be used to analyze this
deluge of data automatically. Machine learning has been used to solve many interesting and …

The guest editors provide an overview of the articles selected for this special issue. The
issue's goal is to document the current state-of-the-art, acknowledge the latest …

This chapter reports recent advances in the statistical learning literature that may be of
interest for biometrics. In particular we discuss two different algorithmic settings, binary …

In our time of rapidly changing Information Technology (IT) age, there is growing interest in
Pattern Recognition and Machine Intelligence and its applications to Biometrics in academia …

Biometrics seeks to spot people dependably and strongly supported their personal
characteristics, principally for security and authentication, however also for distinctive and …

Biometrics aims at reliable and robust identification of humans from their personal traits,
mainly for security and authentication purposes, but also for identifying and tracking the …

How can scientific progress be measured? How do we know if a pattern recognition
algorithm performs better on average than another one? How much data is needed to claim …