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Iris imaging system with adaptive optical elements

[+] Author Affiliations
Junoh Choi, Kevin R. Dixon, David V. Wick, Brett E. Bagwell, Grant H. Soehnel, Brian Clark

Sandia National Laboratories, PO Box 5800, MS 0406, Albuquerque, New Mexico 87185

J. Electron. Imaging. 21(1), 013004 (Feb 27, 2012). doi:10.1117/1.JEI.21.1.013004
History: Received September 9, 2011; Revised January 3, 2012; Accepted January 10, 2012
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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.

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Citation

Junoh Choi ; Kevin R. Dixon ; David V. Wick ; Brett E. Bagwell ; Grant H. Soehnel, et al.
"Iris imaging system with adaptive optical elements", J. Electron. Imaging. 21(1), 013004 (Feb 27, 2012). ; http://dx.doi.org/10.1117/1.JEI.21.1.013004


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