Iris Analysis for Health Diagnosis


Authors : Kirti Panchal, Riddhi Surve, Kaustubh Thanekar, Vidya Pujari.

Volume/Issue : Volume 4 - 2019, Issue 4 - April

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://bit.ly/2VVi13k

Iris is a colored muscle present inside the eye which helps in controlling the amount of light entering the eye. It has a variety of special textural information, which does not get disturbed or tampered easily, making it a best-suited characteristic for biometric systems. Because of its specialty, commonality, reliability and stability, iris patterns serve a major role in several potential recognition or authentication applications. Iris has the potential to portray a person’s health which can be interpreted by its patterns, shapes, rings, colors and pigmentation markings, fibers, structures, and changes in the pupil and iris. Taking the advantage of these features of iris we aim to predict the health abnormalities including the organ diseases like heart, liver, kidney, lung, etc.

Keywords : Iridology, Iris Classification and Segmentation, Tensor-Based Gradient, Multi-Orientations-Gabor Filter, Textural Features, SURF Features, Oriented Support Vector Machine.

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