Biometric technologies are routinely used in the response to refugee crises with the United
Nations High Commissioner for Refugees (UNHCR) aiming to have all refugee data from …

Noncontact biometrics such as face and iris have additional benefits over contact-based
biometrics such as fingerprint and hand geometry. However, three important challenges …

Iris segmentation is an essential module in iris recognition because it defines the effective
image region used for subsequent processing such as feature extraction. Traditional iris …

The term periocular refers to the facial region in the immediate vicinity of the eye. Acquisition
of the periocular biometric is expected to require less subject cooperation while permitting a …

The purpose of this book is to provide a practical introduction to the th-ries, techniques and
applications of image fusion. The present work has been designed as a textbook for a one …

This paper describes the winning algorithm we submitted to the recent NICE. I iris
recognition contest. Efficient and robust segmentation of noisy iris images is one of the …

The richness and apparent stability of the iris texture make it a robust biometric trait for
personal authentication. The performance of an automated iris recognition system is affected …

With the increasing imaging and processing capabilities of today's mobile devices, user
authentication using iris biometrics has become feasible. However, as the acquisition …

The growing popularity of wearable devices is leading to new ways to interact with the
environment, with other smart devices, and with other people. Wearables equipped with an …

The success of deep learning over the traditional machine learning techniques in handling
artificial intelligence application tasks such as image processing, computer vision, object …