For the past 20 years, researchers have investigated the use of eye tracking in security
applications. We present a holistic view on gaze-based security applications. In particular …

Iris recognition is increasingly used in large-scale applications. As a result, presentation
attack detection for iris recognition takes on fundamental importance. This survey covers the …

Event detection is a challenging stage in eye movement data analysis. A major drawback of
current event detection methods is that parameters have to be adjusted based on eye …

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 use of electroencephalogram (EEG) as a biometrics modality has been investigated for
about a decade; however, its feasibility in real-world applications is not yet conclusively …

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

Anatomical biometric recognition is widely used in a large number of civilian and
government applications, within well-tested biometric parameters. New sensors and …

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 …

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 …