Systems incorporating biometric technologies have become ubiquitous in personal,
commercial, and governmental identity management applications. Both cooperative (eg …

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 …

Automated iris segmentation is an important component of biometric identification. The role
of artificial intelligence, particularly machine learning and deep learning, has been …

Iris recognition has emerged as one of the most accurate and convenient biometric for
person identification and has been increasingly employed in a wide range of e-security …

This paper presents a novel scheme for cancelable iris recognition based on comb filtering.
This scheme begins with a coarse-to-fine iris localization stage. After that, Gabor filtering is …

Recently, physically unclonable functions (PUFs) have received considerable attention from
the research community due to their potential use in security mechanisms for applications …

Abstract Domain adaptation (DA) has been widely investigated as a framework to alleviate
the laborious task of data annotation for image segmentation. Most DA investigations …

The object of interest of this paper is an original method based on SURF descriptors and
texture features applied on iris recognition. Our approach uses SURF method in two stages …

From border controls to personal devices, from online exam proctoring to human-robot
interaction, biometric technologies are empowering individuals and organizations with …

In spite of the prominence and robustness of iris recognition systems, iris images acquisition
using heterogeneous cameras/sensors, is the prime concern in deploying them for wide …