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 …

The unimodal biometric based system faced several inherent problems like lack of
uniqueness, intra-class variation, non-universality, noisy data (presence of dirt on the …

We study involuntary micro-movements of both eyes, in addition to saccadic macro-
movements, as biometric characteristic. We develop a deep convolutional neural network …

This paper proposes a novel framework for the use of eye movement patterns for biometric
applications. Eye movements contain abundant information about cognitive brain functions …

Periocular is one of the promising biometric traits for human recognition. It encompasses a
surrounding area of eyes that includes eyebrows, eyelids, eyelashes, eye-folds, eyebrows …

We study involuntary micro-movements of the eye for biometric identification. While prior
studies extract lower-frequency macro-movements from the output of video-based eye …

Previous research shows that human eye movements can serve as a valuable source of
information about the structural elements of the oculomotor system and they also can open a …

This paper addresses the active and dynamic nature of biometrics, in general, and gaze
analysis, in particular, including motivation and background. The paper includes a critical …

On the onset of the second decade of research in eye movement biometrics, the already
demonstrated results strongly support the promising perspectives of the field. This paper …

We study the problem of inferring readers' identities and estimating their level of text
comprehension from observations of their eye movements during reading. We develop a …