Share Email Print
cover

Proceedings Paper

Nonfrontal/nonideal iris localization and acquisition
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Iris and face biometric systems are under intense study as a multimodal pair due in part to the ability to acquire both with the same capture system. While several successful research efforts have considered facial imagesas part of an iris-face multimodal biometric system, there is little work in the area exploring the iris recognition problem under different poses of the subjects. This is due to the fact that most commercial iris recognition systems depend on the high performance algorithm patented by Daugman, which does not take into consideration the pose and illumination variations in iris acquisition. Hence there is an impending need for sophisticated iris detection systems that localize the iris region for different poses and different facial views. In this paper we present a non-frontal/non-ideal iris acquisition technique where iris images are extracted out of regular visual video sequences. This video sequence is captured 3 feet around the subject in a 90-degree arc from the profile view to the frontal view. We present a novel design for an iris detection filter that detects the location of the iris, the pupil and the sclera using a Laplacian of Gaussian ellipse detection technique. Experimental results show that the proposed approach can localize the iris location in facial images for a wide range of pose variations including semi-frontal views.

Paper Details

Date Published: 25 October 2004
PDF: 9 pages
Proc. SPIE 5601, Internet Multimedia Management Systems V, (25 October 2004); doi: 10.1117/12.570269
Show Author Affiliations
Gamal F. Fahmy, West Virginia Univ. (United States)
Lawrence Anthony Hornak, West Virginia Univ. (United States)
Natalia Schmid, West Virginia Univ. (United States)
Xin Li, West Virginia Univ. (United States)
Stephanie Caswell Schuckers, Clarkson Univ. (United States)


Published in SPIE Proceedings Vol. 5601:
Internet Multimedia Management Systems V
John R. Smith; Tong Zhang; Sethuraman Panchanathan, Editor(s)

© SPIE. Terms of Use
Back to Top