Person Identification Technique Using Human Iris Recognition

Abstract— A new iris recognition and person identification technique is introduced. The method is based on tracing the Eye image boundary, using the MarrHildreth edge technique. The Eye's pupil boundary is identified, using the contour follower which is based on the chain coding method. The coordinates of the pupil's center is then recognized as the center of figure of the pupil boundary chained points. The pupil radius (i.e. the iris inner radius) is determined as the average distance between the pupil center and the chained points on the pupil boundary. An image of 128128 pixels size surrounding the pupil center is then extracted which involve all the required necessary information for the identification process. The extracted raster form images then transformed from the Euclidian representation into polar representation (i.e. r- coordinates), all having the same size 36060 pixels (i.e. rows number for inner iris radius ≤ r≤ outer iris radius, and columns number for 0 ≤  ≤ 360). The transformed polar represented images are, then, inserted (each as a column vector) in an array, their average is determined and subtracted from each. The covariance of the average subtracted array then computed, the eigenvectors of the covariance matrix are, then, calculated and used to identify the tested eye by comparing its eigenvector with those already preserved as Database, using the minimum meansquare criterion.