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 …

Retinal vessel image is an important biological information that can be used for personal
identification in the social security domain, and for disease diagnosis in the medical domain …

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

Glaucoma is an ocular disease that causes permanent blindness if not cured at an early
stage. Cup-to-disk ratio (CDR), obtained by dividing the height of optic cup (OC) with the …

For retinal image matching (RIM), we propose SuperRetina, the first end-to-end method with
jointly trainable keypoint detector and descriptor. SuperRetina is trained in a novel semi …

Diabetic Retinopathy is an eye disorder that affects people suffering from diabetes. Higher
sugar levels in blood leads to damage of blood vessels in eyes and may even cause …

Objective. Automatic segmentation of fundus vessels has the potential to enhance the
judgment ability of intelligent disease diagnosis systems. Even though various methods …

Junction plays an important role in biomedical research such as retinal biometric
identification, retinal image registration, eye-related disease diagnosis and neuron …

Fake/pirated hardware intellectual property (IP) cores integrated in consumer electronics
systems can cause reliability hazards and jeopardize the safety of end consumer. Robust …

Retinal biometric trait is one of the safest and most secure biometric traits that can be used
for personal identification and authentication. The poor contrast in captured retinal images …