Multimodal biometric systems are those that utilize more than one physiological or
behavioral characteristic for verification or identification. In applications such as access and …

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 …

Deep Learning is now synonymous with applied machine learning. Many technology giants
(eg Google, Microsoft, Apple, IBM) as well as start-ups are focusing on deep learning-based …

Biometrics: Personal Identification in Networked Society is a comprehensive and accessible
source of state-of-the-art information on all existing and emerging biometrics: the science of …

The increasing number of mobile devices in recent years has caused the collection of a
large amount of personal information that needs to be protected. To this aim, be-havioural …

We advance here a novel methodology for robust intelligent biometric information
management with inferences and predictions made using randomness and complexity …

This research defined the underpinning concepts of a system that was highly secure, yet
was efficient and non-invasive enough for everyday use. The live biometric authenticity …

Biometric recognition has become a burgeoning research area due to the industrial and
government needs for security and privacy concerns. It has also become a center of focus for …

Recent discourse in security domains points to the emergence of intelligent biometric
systems as some of the most potent authentication systems for government agencies, border …