The science of solving clinical problems by analyzing images generated in clinical practice
is known as medical image analysis. The aim is to extract information in an affective and …

The term “iris” refers to the highly textured annular portion of the human eye that is externally
visible. An iris recognition system exploits the richness of these textural patterns to …

Multimodal biometric systems have been widely applied in many real-world applications due
to its ability to deal with a number of significant limitations of unimodal biometric systems …

Speaker verification systems have achieved great progress in recent years. Unfortunately,
they are still highly prone to different kinds of spoofing attacks such as speech synthesis …

In this paper, we present the evolution of the open source iris recognition system OSIRIS
through its more relevant versions: OSIRISV2, OSIRISV4, and OSIRISV4. 1. We developed …

Moving object detection is very important in intelligent surveillance. In this paper, an
improved algorithm based on frame difference and edge detection is presented for moving …

In this survey, we provide a comprehensive review of more than 200 articles, technical
reports, and GitHub repositories published over the last 10 years on the recent …

Iris recognition imaging constraints are receiving increasing attention. There are several
proposals to develop systems that operate in the visible wavelength and in less constrained …

A recent survey of iris biometric research from its inception through 2007, roughly 15 years
of research, lists approximately 180 publications. This new survey is intended to update the …

Deep learning techniques such as convolutional neural network and capsule network have
attained good results in iris recognition. However, due to the influence of eyelashes, skin …