Recently, deep learning approaches, especially convolutional neural networks (CNNs),
have attracted extensive attention in iris recognition. Though CNN-based approaches …

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 …

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 …

Traditional iris recognition methods are mostly based on hand-crafted features, having
limited success in less constrained scenarios due to non-ideal images caused by less …

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 …

Despite the prominent advancements in iris recognition, unconstrained image acquisition
through heterogeneous sensors has been a major obstacle in applying it for large-scale …

With the rapid development of deep learning, iris recognition methods based on deep
learning are constantly being proposed. These methods generally consist of iris …

Biometric recognition technology has been widely used in various fields of society. Iris
recognition technology, as a stable and convenient biometric recognition technology, has …

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 …

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