Robust iris location in close-up images of the eye

Emanuele Trucco, Marco Razeto

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

This paper presents a robust, reliable iris location system for close-up, grey scale images of a single eye. The system is meant as a bootstrap or recovery module for automated iris tracking within medical applications. We model the iris contour with an active ellipse, sensitive to intensity gradients across its perimeter. In this way, we avoid modelling the noisy appearance of the iris (e.g. corneal reflections). The iris-sclera intensity transition is modelled at two spatial scales with Petrou-Kittler optimal ramp filters. The optimal ellipse is identified by a simulated annealing algorithm tuned to the problem characteristics. The system performed accurately and robustly with 327 real images against substantial occlusion levels and varying image quality, subject, eye shape and skin colour.

Original languageEnglish
Pages (from-to)247-255
Number of pages9
JournalPattern Analysis and Applications
Volume8
Issue number3
DOIs
Publication statusPublished - Dec 2005

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