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Journal of Electronic Imaging

Iris imaging system with adaptive optical elements
Author(s): Junoh Choi; Kevin R. Dixon; David V. Wick; Brett E. Bagwell; Grant H. Soehnel; Brian F. Clark
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Paper Abstract

Iris recognition utilizes distinct patterns found in the human iris to perform identification. Image acquisition is a critical first step toward successful operation of iris recognition systems. However, the quality of iris images required by standard iris recognition algorithms puts stringent constraints on the imaging systems, which results in a constrained capture volume. We have incorporated adaptive optical elements to expand the capture volume of a 3-m stand-off iris recognition system.

Paper Details

Date Published: 27 February 2012
PDF: 6 pages
J. Electron. Imaging. 21(1) 013004 doi: 10.1117/1.JEI.21.1.013004
Published in: Journal of Electronic Imaging Volume 21, Issue 1
Show Author Affiliations
Junoh Choi, Sandia National Labs. (United States)
Kevin R. Dixon, Sandia National Labs. (United States)
David V. Wick, Sandia National Labs. (United States)
Brett E. Bagwell, Sandia National Labs. (United States)
Grant H. Soehnel, Sandia National Labs. (United States)
Brian F. Clark, Sandia National Labs. (United States)

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