Due to their insufficient generalization ability, iris segmentation algorithms based on deep
learning cannot accurately segment iris images without corresponding ground truth (GT) …

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 …

Iris recognition is a secure biometric technology known for its stability and privacy. With no
two irises being identical and little change throughout a person's lifetime, iris recognition is …

Most of the classical iris recognition systems require cooperation from users and assume
ideal conditions during iris image acquisition. In uncooperative and unconstrained …

The paper presents a summary of the 2020 Sclera Segmentation Benchmarking
Competition (SSBC), the 7th in the series of group benchmarking efforts centred around the …

In the current world scenario the influence of the COVID19 pandemic has reached universal
proportions affecting almost all countries. In this sense, the need has arisen to wear gloves …

Accurate segmentation and parameterisation of the iris in eye images still remain a
significant challenge for achieving robust iris recognition, especially in off‐angle images …

Multi-modal ocular biometrics has recently garnered significant attention due to its potential
in enhancing the security and reliability of biometric identification systems in non …

Iris recognition for eye images acquired in visible wavelength is receiving increasing
attention. In visible wavelength environments, there are many factors that may cover or affect …

Iris Recognition (IR) is one of the market's most reliable and accurate biometric systems.
Today, it is challenging to build NearInfraRed (NIR) capturing devices under the premise of …