The traditional iris localization algorithms have strict requirements on the image acquisition equipment and the light condition. When the iris images are taken in non-ideal imaging conditions, the localization precision decreases greatly or completely failed. Aiming at these problems, a fast iris localization algorithm under visible light condition is proposed in this paper. The algorithm preprocesses the eye images first. An improved starburst algorithm is then used to detect the feature points. Finally, use the least square algorithm and the RANSAC algorithm to locate the iris contour. The experimental results show that the algorithm is robust to the image quality and can locate the iris quickly and accurately in video image sequences.
