During the last few years, there has been growing interest in the effects induced by
individual variability on activation patterns and brain connectivity. The practical implications …

Rapid advancement in technology has led to the use of biometric authentication in every
field. In particular, from the past few years, iris recognition systems has gained …

The multimodal biometrics is mainly used for the purpose of person certification and proof.
Lot of biometrics is used for human authentication. In which ear and fingerprint are efficient …

As depression becomes more commonplace in society, the timely and effective detection of
the signs of depression for its prevention and early treatment becomes more important. Gait …

The shortcomings of conventional access control systems for high‐security environments
have led to the concert of continuous authentication. Contrary to traditional verification, in …

Although most fingerprint matching methods utilize minutia points and/or texture of
fingerprint images as fingerprint features, the frequency spectrum is also a useful feature …

Metric learning has significantly improved machine learning applications such as face re-
identification and image classification using K-Nearest Neighbor (KNN) and Support Vector …

Although fingerprint-based systems are the commonly used biometric systems, they suffer
from a critical vulnerability to a presentation attack (PA). Therefore, several approaches …

Cloud computing is a technology that has gained rapid popularity in recent years. It has
enabled use of immense computational power in a scalable and cost-efficient manner …

In the recent years, we have witnessed the rapid development of face recognition, though it
is still plagued by variations such as facial expressions, pose, and occlusion. In contrast to …