Iris Detection Based on Analysis of Abstracted Contour Graph

This paper proposes novel iris detection by analysis of abstracted contour graph, which is robust against obstacles such as eyelashes and eyelids, in order to achieve a high precision of the iris detection even for low image quality. The analysis of abstracted contour graph is a method to evaluate topological features of contour curves, such as the pupil and iris, effectively reducing the influence of obstacles and extracting true contour curves. It performed the experimental evaluation of the iris detection by the proposed approach using 500 iris images from the iris image database CASIA-IrisV3-Lamp. As a result, it was confirmed that the iris detection rate of the previous studies were 98%, whereas the proposed method improved to 99%.