Recently, iris recognition techniques have achieved great performance in identification.
Among authentication techniques, iris recognition systems have received attention very …

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 …

Post-mortem biometrics entails utilizing the biometric data of a deceased individual for
determining or verifying human identity. Due to fundamental biological changes that occur in …

CNN-based iris segmentations have been proven to be superior to traditional iris
segmentation techniques in terms of segmentation error metrics. To properly utilize them in a …

The widespread deployment of multi-biometrics to authenticate users prompts the need for
biometric systems with high recognition performance. Further, the biometric data, once …

In this paper, we propose a histogram of oriented gradient inspired cancelable biometrics–
Random Augmented Histogram of Gradients (HoG) for iris template protection. The …

As a considerable breakthrough in artificial intelligence, deep learning has gained great
success in resolving key computer vision challenges. Accurate segmentation of the iris …

Iris segmentation is an important research topic that received significant attention from the
research community over the years. Traditional iris segmentation techniques have typically …

Biometric based authentication systems are being prominently used everywhere. The
biometric data, popularly known as a biometric template, is generally stored on the database …

In this paper we address the vulnerabilities of iris recognition systems to both image-based
impersonation attacks and Presentation Attacks (PAs) in physical environments. While …