A robust method of complete iris segmentation

In iris recognition, accurate Iris segmentation is the most crucial step. Iris recognition systems are highly affected by the performance of iris segmentation processing. In this paper a robust and efficient method of iris segmentation is proposed. In the proposed scheme, the inner boundary of iris is calculated by finding the pupil center and radius using first derivative of the image. For outer iris boundary, a band is calculated within which iris outer boundary lies. One dimensional signals are picked along radial direction from the determined band in a sequence at different angles to obtain the outer circle of the iris. Points for upper and lower eyelids are found in the same way as the iris outer boundary followed by the statistically fit parabolas to completely localize the iris. Experimental results show that proposed method is very efficient.