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

The glymphatic system is responsible for waste clearance in the brain. It is comprised of
perivascular spaces (PVS) that surround penetrating blood vessels. These spaces are filled …

Iris images captured in non-cooperative environments often suffer from adverse noise, which
challenges many existing iris segmentation methods. To address this problem, this paper …

The pupil recognition method is helpful in many real-time systems, including ophthalmology
testing devices, wheelchair assistance, and so on. The pupil detection system is a very …

Iris segmentation is a critical step for improving the accuracy of iris recognition, as well as for
medical concerns. Existing methods generally use whole eye images as input for network …

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 …

Metaverse is a vast virtual environment parallel to the physical world in which users enjoy a
variety of services acting as an avatar. To build a secure living habitat, it's vital to ensure the …

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 recent years, cross-spectral iris recognition has emerged as a promising biometric
approach to establish the identity of individuals. However, matching iris images acquired at …

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