Fast and efficient iris segmentation approach based on morphology and geometry operation

Abstract

This paper presents a novel and robust method for pupil and iris boundary localization based on morphological and geometrical operation. This proposed method localizes the iris and pupil center in several stages. In the proposed algorithm Otsu threshold value, median filter, image complement, contact labeling and manual tracking are used for robust detection of the pupil. Otsu threshold is used for picking threshold value in order to determine the right binary image. Then edge point is used for the pupil boundary localization. The use of geometrical operation helps in better iris localization. Its performance does not degrade in case of seriously or partially affected eye images with eyelids and eyelashes. The proposed scheme has been tested on iris image databases like: CASIA-IrisV1 and CASIA-IrisV3. Experimental result demonstrates the supremacy of the proposed scheme in comparison with some other existing methods.