Iris imaging system with adaptive optical elements

Junoh Choi; Kevin R. Dixon; David V. Wick; Brett E. Bagwell; Grant H. Soehnel; Brian F. Clark

doi:10.1117/1.JEI.21.1.013004

27 February 2012 Iris imaging system with adaptive optical elements

Junoh Choi, Kevin R. Dixon, David V. Wick, Brett E. Bagwell, Grant H. Soehnel, Brian F. Clark

Author Affiliations +

Journal of Electronic Imaging, Vol. 21, Issue 1, 013004 (February 2012). https://doi.org/10.1117/1.JEI.21.1.013004

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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Junoh Choi, Kevin R. Dixon, David V. Wick, Brett E. Bagwell, Grant H. Soehnel, and Brian F. Clark "Iris imaging system with adaptive optical elements," Journal of Electronic Imaging 21(1), 013004 (27 February 2012). https://doi.org/10.1117/1.JEI.21.1.013004

Published: 27 February 2012

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