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 …

Research on human eye image processing and iris recognition has grown steadily over the
last few decades. It is important for researchers interested in this discipline to know the …

This introduction presents an overview of the key concepts discussed in the subsequent
chapters of this book. The book introduces the core dimensions of humanitarian …

Most of the classical iris recognition systems require cooperation from users and assume
ideal conditions during iris image acquisition. In uncooperative and unconstrained …

Compared with other human biosignatures, iris has more advantages on accuracy,
invariability and robustness. However, the performance of existing common iris recognition …

Nowadays, the identity verification of banks' clients at Automatic Teller Machines (ATMs) is a
very critical task. Clients' money, data, and crucial information need to be highly protected …

Recently, biometric-based security plays a vital role in the success of the Cognitive Internet
of Things (C-IoT) based security framework. The iris trait solves a lot of security issues …

As the number of applications that use multimodal biometrics grows, potential challenges to
privacy and protection emerge. New multi-biometric technologies have been suggested in …

The eye region is one of the most attractive sources for identification and verification due to
the representative availability of such biometric modalities as periocular and iris. Many score …

In this work, we present an eye-image acquisition device that can be used as an image
acquisition front-end application in compact, low-cost, and easy-to-integrate products for …