A Video-Based Spatio-temporal Biometric Template Representation of the Spontaneous Pupillary Oscillations: A Pilot Experiment

In this paper, we introduced a new video-based spatio-temporal identification system and we also presented our initial identity authentication results based on the spontaneous pupillary oscillation features. We demonstrated that this biometric trait has the capability to provide enough discriminative information to authenticate the identity of a subject. We described the methodology to compute a spatio-temporal biometric template recording the pupil area changes from a video sequence acquired at constant light conditions. To our knowledge, no attempts were made in order to distinguish individuals based on the spatio-temporal representations computed from the normal dilation/contraction condition of the pupil. In preliminary experiments, for the privately collected database, we observe that Equal Error occurs at a threshold of 5.812 and the error is roughly 0.4356%.