In the use of the spontaneous pupillary oscillations as a new biometric trait

It is presented a novel pupillary-based identification system, along with the early identity authentication results and analysis, based on the spatio-temporal features computed from the spontaneous pupillary oscillations. The authors demonstrate that this biometric trait has the capability to provide enough discriminative information to authenticate the identity of a subject. A new methodology to compute the spatio-temporal biometric template recordings of the pupil area changes, in a video-oculography sequence under constant luminance level, is also introduced in this paper. According to the authors´ knowledge, there is no evidence that other attempts were made, addressing this methodology to distinguish individuals based on the spatiotemporal representations, computed from the normal dilation-contraction behavior of the pupil. Liveness will be detected by using the information obtained from the spontaneous pupillary oscillation mechanism. Preliminary experiments were conducted by using a particular own collected database, resulting in a (Equal Error Rate) in the order of 0.2338%.