ABSTRACT

The field of iris biometrics has been significant research over the last decade. At this point, iris capture has become a main stream technology with wide acceptance. A general iris recognition system works with four different steps. 1. Capturing the image from the eye. 2. Extracting iris from the processed image. 3. Transforming the raw image coordinates into normalized polar coordinates. 4. Finally the iris code is compared with known iris code for identification of a person. Iris performance can be improved by creating a single average image. We prepared two different sets of images called gallery set of images and probe set of images and then compared all gallery set images to all probe set images. This comparison gives better recognition performance.