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Proceedings Paper

A new approach for non-cooperative iris recognition
Author(s): Craig Belcher; Yingzi Du
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Paper Abstract

Traditional iris recognition algorithms can work well for the frontal iris images. However, when the gaze of an eye changes with respect to the camera lens, many times the size, shape, and detail of iris patterns will change as well and cannot be matched to enrolled images using traditional methods. Additionally, the transformation of off-angle eyes to polar coordinates becomes much more challenging and noncooperative iris algorithms will require a different approach. In this paper, we propose a new approach for iris recognition. This new method does not require polar transformation, affine transformation or highly accurate segmentation to perform iris recognition. Our research results using the remote non-cooperative iris Image database show that the proposed method works well on frontal look images and off-angle images as well.

Paper Details

Date Published: 4 May 2009
PDF: 9 pages
Proc. SPIE 7351, Mobile Multimedia/Image Processing, Security, and Applications 2009, 73510A (4 May 2009); doi: 10.1117/12.818886
Show Author Affiliations
Craig Belcher, Indiana Univ.-Purdue Univ. Indianapolis (United States)
Yingzi Du, Indiana Univ.-Purdue Univ. Indianapolis (United States)

Published in SPIE Proceedings Vol. 7351:
Mobile Multimedia/Image Processing, Security, and Applications 2009
Sos S. Agaian; Sabah A. Jassim, Editor(s)

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