In the domain of biometric systems, where individual identities are confirmed through
distinctive traits like fingerprints, facial geometry, and gait patterns, the application of …

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 …

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

Human identity recognition is one of the key mechanisms of ensuring proper information
access to individuals. It forms the basis of many government, social, consumer, financial and …

We are entering the era of artificial intelligence and big data, and thus, systems are
becoming more intelligent with performance even to a human level in limited applications …

Biometric recognition, or simply Biometrics, is a rapidly evolving field with applications
ranging from accessing one's computer to gaining entry into a country. Biometric systems …

Biometric systems are the ensemble of devices, procedures, and algorithms for the
automatic recognition of individuals by means of their physiological or behavioral …

Over the past two decades, biometric recognition has exploded into a plethora of different
applications around the globe. This proliferation can be attributed to the high levels of …

A wide variety of systems require reliable personal recognition schemes to either confirm or
determine the identity of an individual requesting their services. The purpose of such …

Biometrics is the study of methods for uniquely recognizing humans based on one or more
intrinsic physical or behavioral traits. After decades of research activities, biometrics, as a …