Iris Segmentation Techniques For Iris Diagnosis: a survey

Abstract

The iris of the eye is the most complex tissue of the body. The iris is connected to the dura mater of the brain via 28,000 nerve endings that form part of the optic nerve (part of central nervous system). It is an extension of the brain, being incredibly endowed with hundreds of thousands of nerve endings, microscopic blood vessels, muscle and other tissues. The iris is connected to every organ and tissue of the body by way of the brain and nervous system. Nature has provided us with a miniature television screen showing the most remote portion of the body.In the recent years, due to the success of the deep learning models in the computer vision fields, there has been a large amount of works aimed at developing image segmentation approaches using deep learning model. In this survey, we provide a review on iris segmentation models covering the traditional models as well as recent deep learning methods. We examine the strengths and weaknesses of the various models and discuss promising future direction in this research area. Keywords: Image processing, Image segmentation, deep learning, neural networks, Traditional methods, edge detection, iris diagnosis.

Keywords: Image processing, Image segmentation, deep learning, neural networks, Traditional methods, edge detection, iris diagnosis.