Iris recognition refers to the automated process of recognizing individuals based on their iris
patterns. The seemingly stochastic nature of the iris stroma makes it a distinctive cue for …

Iris recognition has been an active research area during last few decades, because of its
wide applications in security, from airports to homeland security border control. Different …

This paper proposes an accurate and generalizable deep learning framework for iris
recognition. The proposed framework is based on a fully convolutional network (FCN), which …

Modern deep learning techniques can be employed to generate effective feature extractors
for the task of iris recognition. The question arises: should we train such structures from …

Iris recognition has emerged as the more accurate, convenient, and low-cost biometric
approach to authenticate human subjects. However, the accuracy offered by current popular …

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 …

This paper proposes a deep learning based unified and generalizable framework for
accurate iris detection, segmentation and recognition. The proposed framework firstly …

Despite significant advances in iris recognition (IR), the efficient and robust IR at scale and
in non-ideal conditions presents serious performance issues and is still ongoing research …

Iris recognition is one of the most representative identification technologies in biometric
recognition, which is widely used in various fields. Recently, many deep learning methods …

For large-scale iris recognition tasks, the determination of classification thresholds remains a
challenging task, especially in practical applications where sample space is growing rapidly …