Aimed at the resisting noise performance of iris localization,a new algorithm for iris slocalization based on iris boundaries recognition was presented.The features of iris inner border and outer border were extracted by image geometric moment function,which was used to recognize the borders of iris by trained Support Vector Machines(SVM) classifier.Finally,the parameters of iris borders were solved by the Hough transform,and the iris was localized.The proposed method was testified on CASIA iris database and the result was satisfying.The data from the simulation experiment show that the proposed method is computationally efficient and has higher correct ratio.Furthermore,the proposed method is less sensitive to obscuring element such as eyelashes and eyelids.