In this work, we propose a robust iris segmentation method for non-ideal ocular images,
referred to as Polar Spline RANSAC, which approximates the iris shape as a closed curve …

Contemporary surveys focus on the ideal iris biometric systems, which are generally used
for overt applications: eg, border crossing control. Notably, these systems perform well for …

The accurate extraction and measurement of eye features is crucial to a variety of domains,
including human-computer interaction, biometry, and medical research. This paper presents …

Iris recognition is a well-known biometric identification system which distinguishes authentic
and imposter individuals based on the features of their irides. It employs stringent statistical …

In this study the authors will look at the detection and segmentation of the iris and its
influence on the overall performance of the iris‐biometric tool chain. The authors will …

Iris recognition systems capture an image from an individual's eye. The iris in the image is
then segmented and normalized for feature extraction process. The performance of iris …

Synthesis of same-identity biometric iris images, both for existing and non-existing identities
while preserving the identity across a wide range of pupil sizes, is complex due to intricate …

Biometrics, an integral component of Identity Science, is widely used in several large-scale-
county-wide projects to provide a meaningful way of recognizing individuals. Among existing …

Subject matching performance in iris biometrics is contingent upon fast, high-quality iris
segmentation. In many cases, iris biometrics acquisition equipment takes a number of …

Iris localisation and segmentation are challenging and critical tasks in iris biometric
recognition. Especially in non-cooperative and less ideal environments, their impact on …