  In this paper, we are interested in iris biometric applications. More
precisely, our contribution consists in designing both a pupil detection and a
tracking procedure from video sequences acquired by low-cost webcams. The
novelty of our approach relies on the fact that it is operational even with a
minimal user cooperation and, under bad illuminations and acquisition
conditions. A robust classification algorithm is designed to detect the pupil.
Moreover, a pupil tracker based on the extended Kalman filter is applied in
order to reduce the processing time. Experimental results are performed in
order to evaluate the performances of the proposed detection and tracking
system
