A New Iris Region Segmentation Method
Iris edge detection is a key step for iris boundary localization in iris recognition system, because there are many edge points caused by influences in iris image such as eyelashes, eyelid and light spots, it causes that edge detection and localization are generally computationally expensive. In order to improve the speed of iris boundaries localization, a new edge detection method for iris images is presented in this article. This method use morphological operators and fuzzy membership functions to select edge points by sharpening edge gradient magnitude. The results of simulation show that the method is effectiveness for decreasing invalid iris edge points and improving iris boundaries localization speed.