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Standoff iris recognition using non-iterative polar based segmentationFormat | Member Price | Non-Member Price |
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Paper Abstract
Recently, the iris of the human eye has been used as a biometric indicator for identification. We have witnessed wide-scale
deployment of iris technology across many product categories. However, these iris recognition solutions do not
reflect the full potential of the technology. The robustness of the standoff iris segmentation approach relies heavily on
accurate iris segmentation techniques. Computing iris features requires a high quality segmentation process that focuses
on the subject's iris and properly extracts its boundaries. Because iris segmentation is sensitive to the acquisition
conditions, it is a very challenging problem. In this paper, we describe a standoff iris recognition system to identify non-cooperative
subjects. We introduce a novel iris segmentation approach that takes the analysis of edges into the polar
domain at an earlier stage and uses non-iterative polar differential operator to locate the inner and outer borders of the
iris. The approach is proven to be very effective for non-ideal gazed and obscured irises while providing comparable
results to top performing algorithms on frontal iris images.
Paper Details
Date Published: 17 March 2008
PDF: 8 pages
Proc. SPIE 6944, Biometric Technology for Human Identification V, 694405 (17 March 2008); doi: 10.1117/12.777206
Published in SPIE Proceedings Vol. 6944:
Biometric Technology for Human Identification V
B.V.K. Vijaya Kumar; Salil Prabhakar; Arun A. Ross, Editor(s)
PDF: 8 pages
Proc. SPIE 6944, Biometric Technology for Human Identification V, 694405 (17 March 2008); doi: 10.1117/12.777206
Show Author Affiliations
Rida Hamza, Honeywell International (United States)
Rand Whillock, Honeywell International (United States)
Published in SPIE Proceedings Vol. 6944:
Biometric Technology for Human Identification V
B.V.K. Vijaya Kumar; Salil Prabhakar; Arun A. Ross, Editor(s)
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