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The goal of this paper is to analyze the texture of irides and determine if they can be quantitatively measured and assigned into multiple categories. Such an exercise would ensure that irides, like fingerprints, can be partitioned into multiple classes thereby allowing for faster retrieval of identities in large scale biometric systems. In order to facilitate this, a set of 68 statistical features is extracted from the iris texture. These features correspond to the high frequency informationdoi:10.1109/cvprw.2010.5543234 dblp:conf/cvpr/RossS10 fatcat:bwcrnfvonbclrizfs22rus5s3e