Most iris recognition systems use the global and local texture information of the iris in order to recognize individuals. In this work, we investigate the use of macro-features th...
This paper presents a new iris database that contains images with noise. This is in contrast with the existing databases, that are noise free. UBIRIS is a tool for the development ...
Abstract. The iris is currently accepted as one of the most accurate traits for biometric purposes. However, for the sake of accuracy, iris recognition systems rely on good quality...
One of the first steps in iris recognition is isolating (or segmenting) the iris from an image of the subject's eye area. This paper investigates new approaches for locating ...
We take advantage of the temporal continuity in an iris video to improve matching performance using signal-level fusion. From multiple frames of an iris video, we create a single a...
Karen Hollingsworth, Kevin W. Bowyer, Patrick J. F...