In recent years, Finger Textures (FTs) have attracted considerable attention as potential
biometric characteristics. They can provide robust recognition performance as they have …

Automatic recognition of individuals is very important in modern eras. Biometric techniques
have emerged as an answer to the matter of automatic individual recognition. This paper …

Biometric verification of subjects as users of computers or other devices has mainly based
on fingerprints, face, iris or other images. We developed biometric verification using eye …

Previous work on iris recognition focused on either Visible Light (VL), Near-Infrared (NIR)
imaging or the fusion between them. However, limited numbers of works have compared the …

This paper introduces an iris classification system using FFNNGSA and FFNNPSO. This iris
identification system consists of localization of the iris region, normalization, feature …

Vertical nystagmus is a common neuro-ophthalmic sign in vestibular medicine. Vertical
nystagmus not only reflects the functional state of vertical semicircular canal but also reflects …

In most iris recognition systems the texture of the iris image is either the result of the
interaction between the iris and Near Infrared (NIR) light, or between the iris pigmentation …

The performance of iris recognition systems is significantly affected by the segmentation
accuracy, especially in non-ideal iris images. This paper proposes a fast and accurate …

We recently studied the application of saccadic eye movements, measured with video
cameras, to biometric verification using subjects who receive identical stimulation. The …

One of the crucial and inherent issues in a practical iris recognition system is the occlusion
that happens due to eyelids and eyelashes. This occlusion increases the complexity and …