IRIS segmentation using Daughman's method

Iris recognition is the most reliable and accurate biometric identification system. Iris recognition system captures an image of an individual's eye, the iris in the image is segmented and normalized for extracting its feature. The performance of iris recognition systems depends on the process of segmentation of iris form the eye image. Segmentation is the most important part in iris recognition process because areas that are wrongly segmented out as iris regions will corrupt biometric templates resulting in very poor recognition. There are various methods for segmenting iris from eye image and give the best segmented result. In this paper, Daugman's method is used to find out the pupil and the iris boundaries. Here Iris images are taken from the CASIA Database, then the iris and pupil boundary are detected. By using Daughman's method the iris boundaries are segmented out. The computational time of segmentation by Daughman's method is less as it take very less time to segment the iris and pupilary boundaries of eye image and give appropriate value. Hence this method gives fast segmented output.