Robust eyeball segmentation in noisy iris images using fourier spectral density
In this paper, a new eyeball segmentation approach based on the Fourier spectral density is proposed for noisy iris images. The design of an accurate segmentation method for noisy iris images could make non-cooperative iris recognition possible. The proposed segmentation method aims to achieve high segmentation accuracy in defocused, reflection-contained and eyelid-occluded iris images. The proposed method could extract the eyeball region correctly in a significant number of noisy iris images from the UBIRIS database [16].