The principle and algorithm of iris recognition were expounded systematically.Three new ideas were presented:locating the outside edge effectively by combining wavelet transform and Hough transform,spreading the iris image to the rectangular image by gradually changing concentric circles,and weighting the classification distance based on the distribution variance of texture feature.This algorithm retains the characteristics of rotation,translation and scale invariants and realizes the iris recognition effectively.