Patent ID: 7715594

Claim:
A method of iris recognition using cumulative-sum-based change point analysis comprising: transforming an iris image into a polar coordinated image; dividing the polar coordinated image into a plurality of unit cells in which each unit cell comprises a plurality of pixels; assigning a characteristic cell value to each corresponding unit cell; grouping the unit cells together into a plurality of first groups comprising j numbers of first groups, wherein each first group comprises N unit cells such that both j and N are integers greater than one; determining an avenge characteristic cell value for each j th group in the first groups using an averaging formula of X j _ = 1 N ⁢ ∑ i = 1 N ⁢ ⁢ X j , i , wherein X j is the average characteristic cell value in a j th group in the first groups, N is the number of unit cells in each first group, and X j,i is the assigned characteristic cell value of an i th unit cell of the j th group in the first groups; calculating cumulative sums corresponding to each j th unit cell in each j th group in the first groups wherein the cumulative sums are calculated using a cumulative sum formula of S j,i =S j,i−1 +(X j,i − X j ), wherein S j,i is a cumulative sum of the i th unit cell in the j th group of the first groups, S j,i−1 is a cumulative sum of the (i−1) th unit cell in the j th group in the first groups, X j,i is the characteristic cell value of i th unit cell in the j th group in the first groups, and X j is the average characteristic cell value in a j th group in the first groups, such that when i=1 then S j,i−1 =S j,0 =0; identifying, from within each j th group of the first groups, a maximum cumulative sum (MCS) from among the calculated cumulative sums to identify a corresponding MCS cell unit within each j th group of the first groups and to also identify a corresponding i th number (i MCS ) of the identified MCS cell within each j th group of the first groups; and generating a pattern vector having a plurality of bits corresponding to cell units associated with the first groups.