Iris recognition as a reliable method for personal identification has been well-studied with
the objective to assign the class label of each iris image to a unique subject. In contrast, iris …

Great progress has been achieved in face recognition in the last three decades. However, it
is still challenging to characterize the identity related features in face images. This paper …

The purpose of this paper is to introduce an effective and structured methodology for
carrying out a biometric system sensitivity analysis. The goal of sensitivity analysis is to …

It is necessary to match heterogeneous iris images captured by different types of iris sensors
with an increasing demand of interoperable identity management systems. The significant …

It has been shown in different studies the benefits of using spatio-temporal information for
video face recognition. However, most of the existing spatio-temporal representations do not …

Accurate iris recognition from the distantly acquired face or eye images requires
development of effective strategies which can account for significant variations in the …

Iris images captured at a distance usually have low resolution (LR) iris texture regions,
which may lose some detailed identity information. The existed approaches try to improve …

For iris recognition, it is inevitable to encounter a large portion of off-angle iris images in less
constrained conditions. This paper proposes a feature-level solution to off-angle iris …

Conventional iris sensors usually have limited depth of field (DoF) so that it is difficult to
capture focused iris images for personal identification. This paper introduces the first attempt …

The wide deployments of iris recognition systems promote the emergence of different types
of iris sensors. Large differences such as illumination wavelength and resolution result in …