Iris location based on regional property and iterative searching
Li Ping Su, Junjie Wu, Qian Li, Zhilin Liu · 2017
Iris recognition is one of common biometric identification technologies, and an important part of iris recognition is iris location, whose precision directly affects the accuracy of iris recognition. Fitting the inner and outer edge of iris as an approximate circle is a common iris location method, which thereby can lead to fitting errors between the location result and the actual edge. In order to solve this problem, the paper proposes an iris location algorithm based on regional property and iterative searching. The pupil area is extracted using the regional attribute of the iris image, and the iris inner edge is fitted exactly by iterating, comparing and sorting the pupil edge points; then the outer edge location is completed in an iterative searching method on the basis of the extracted pupil centre and radius. The results of the experiment show that in this algorithm, more accurate iris inner edge location can be achieved and a range of comprehensive advantages of faster location speed and higher location accuracy are.