Iris Pattern Segmentation using Automatic Segmentation and Window Technique

A Biometric system is an automatic identification of an individual based on a unique feature or characteristic. Iris recognition has great advantage such as variability, stability and security. In this paper, use the two methods for iris segmentation -An automatic segmentation method and Window method. Window method is a novel approach which comprises two steps first finds pupils' center and then two radial coefficients because sometime pupil is not perfect circle. The second step extract the information of the pupil center and find edges on a one-dimensional imaginary line to each side of the pupil. Localization of iris image is required before iris matching. By experiments we conclude that automatic segmentation algorithm gives 84% accuracy while window technique gives 99% accurate result for Pupil boundary and 79 % for iris edge detections in presence of high degree of eyelashes and eyelids covering the iris region. Keywords-Circular Hough Transform; Iris localization; Normalization; rubber sheet mode; Iris basis matrix.