Abstract
This paper presents local ordinal measures for iris recognition. It is inspired by the mechanism of response properties in neuroscience. The ordinal relationships can preserve the stability among a group of neighboring regions against noise in a given iris image. In this scheme, the iris texture is represented by a set of similarities and dissimilarities across neighboring regions. The experiment results show that proposed simple algorithm can achieve a reasonable recognition rate as compared to existing complex algorithms.