Biometric deals with the verification and identification of a person based on behavioural and
physiological traits. This article presents recent advances in physiological-based biometric …

Ocular biometrics encompasses the imaging and use of characteristic features extracted
from the eyes for personal recognition. Ocular biometric modalities in visible light have …

In this article, we propose a new method for localizing optic disc in retinal images. Localizing
the optic disc and its center is the first step of most vessel segmentation, disease diagnostic …

The retina is the deepest layer of texture covering the rear of the eye, recorded by fundus
images. Vessel detection and segmentation are useful in disease diagnosis. The retina's …

This paper presents an automatic retina verification framework based on the biometric graph
matching (BGM) algorithm. The retinal vasculature is extracted using a family of matched …

Digital data privacy is a rapidly evolving concept in health care. As electronic records have
replaced paper charts, and with the rise of “Big Data” and artificial intelligence (AI), this issue …

Purpose Generative adversarial networks (GANs) are deep learning (DL) models that can
create and modify realistic-appearing synthetic images, or deepfakes, from real images. The …

Biometrics refer to identity verification of individuals based on some physiologic or
behavioural characteristics. The typical authentication process of a person consists in …

In ophthalmology, extensive use of ancillary imaging has enabled the development of
artificial intelligence models, for which data are crucial. A data-sharing environment …

A biometric system provides an automatic person authentication based on some
characteristic features possessed by the individual. Among all other biometrics, the retinal …