Research on iris localization algorithm using gray distribution features
Pan Tian-hong · Computer Engineering and Applications Journal · 2011
Influenced by the noise,for example,eyelid and eyelash occlusions,current iris localization algorithms are difficult to strike a right balance between real-time quality and accuracy.Therefore,a novel iris localization method with effective noise eliminating is proposed.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 to the pre-algorithms,the presented scheme not only greatly improves the accuracy and the speed,but also shows good robustness.