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 …

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

Biometrics, accompanied by the rapid rise of machine learning and computing, has become
one of the most widely used new technologies in today's digital economy. Interestingly, this …

Biometrics is a technique used to define, assess, and quantify a person's physical and
behavioral property. In recent history, deep learning has shown impressive progress in …

Biometrics in modern computer science is defined as the automated use of biological
properties to identify individuals. The early use of biometrics can be dated back to nearly …

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

Biometric sensors are ubiquitous in mobile and wearable devices, smart TVs, video games,
service robots, CCTV cameras and identification systems. On the one hand, the explosion of …

Biometrics, such as fingerprint, iris, face, hand print, hand vein, speech and gait recognition,
etc., as a means of identity management has become commonplace nowadays for various …

Biometrics is a method based on the recognition of the biological characteristics of an
individual like fingerprint, vocal, and facial features. Biometric features hold a unique place …

With a very security-conscious society, biometrics-based authentication and identification
have become the focus of many important applications as it is widely believed that …