The invention relates to an iris texture normalization method based on a dual-spring model. The method includes that ration of pupil radius to iris radius is set under an iris standard state, and ratio of the width of a near-pupil to the width of (near-pupil area + far-pupil area) is set under an iris standard state; the number of required sampling lines of the near-pupil area and the far-pupil area is set; the near-pupil area and the far-pupil area are modeled into series connected springs with different elastic coefficients; lower-pupil radius, near-pupil area width and far-pupil area widthunder a standard state are calculated according to iris actual radius; inner circumference and outer circumference of an iris are divided equally, correspondingly and respectively, coordinates of a certain point on the edge of a pupil and coordinates of a point arranged on the edge of the iris and corresponding to the point on the edge of the pupil are calculated, and distance between the two points is calculated; when the iris is under the non-standard state, the width of the near-pupil area and the far-pupil area is calculated, and linear sampling is conducted on the near-pupil area and thefar-pupil area; and sampling points are normalized into a rectangular image. Compared with the existing non-linear normalization method, the method is simple and practical, can reduce errors caused by pupil contracting and expanding, and can increase recognition rate of iris recognition.