Iris segmentation plays an important role in an accurate iris recognition system. In less
constrained environments where iris images are captured at-a-distance and on-the-move …

The concept of cancelable biometrics provides a way to protect biometric templates. A
possible technique to achieve such protection for iris images is to apply a repeatable, non …

Recently, iris recognition systems have gained increased attention especially in non-
cooperative environments. One of the crucial steps in the iris recognition system is the iris …

Iris recognition, the ability to recognize and distinguish individuals by their iris pattern, is one
of the most reliable biometrics in terms of recognition and identification performance …

Worldwide, biometrics are quickly becoming the preferred solution to a wide range of
problems involving identity checking. Biometrics are claimed to provide more secure …

Periocular is one of the promising biometric traits for human recognition. It encompasses a
surrounding area of eyes that includes eyebrows, eyelids, eyelashes, eye-folds, eyebrows …

In recent years, the usage of mobile devices has increased substantially, as have their
capabilities and applications. Extending biometric technologies to these gadgets is …

Iris recognition typically involves three steps, namely, iris image preprocessing, feature
extraction, and feature matching. The first two steps of iris recognition have been well …

The aim of this paper is to propose an algorithm based on convolutional neural networks
(CNN) for iris sensor model identification. This task is important in forensics applications as …

This paper describes the Iris Challenge Evaluation (ICE) 2005. The ICE 2005 contains a
dataset of 2953 iris images from 132 subjects. The data is organized into two experiments …