Binary Morphology and Local Statistics Applied to Iris Segmentation for Recognition

Abstract

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 the pupil (inner) and limbic (outer) boundaries of the iris, namely a binary morphology and "center of mass" technique for the pupil boundary, and a local statistics approach for the limbic boundary. The methodology and results are presented using images from the University of Bath iris database.