Iris localization algorithm based on gray distribution features

Influenced by the noises, for example, eyelid and eyelash occlusions, iris localization algorithms are difficult to keep a right balance between real-time quality and accuracy. Therefore, a novel iris localization method with effective noise eliminating is proposed in this paper. For the iris' inner edge location, morphological open is used to eliminate noise based on separating pupil region by binaryzation. Then the pupil's center and radius are located accurately by gray projection. For the iris' outer edge location, morphological close is proposed to eliminate the rich texture within the iris area. Based on this method, an edge detection template to search four directional points within a small scope of the probable boundary is designed and thus the iris's centre and radius can be located. Simulation results show that, compared with the pre-algorithms, the new algorithm not only greatly improves the accuracy and the speed, but also shows good robustness.