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Proceedings Paper

Computational cameras for moving iris recognition
Author(s): Scott McCloskey; Sharath Venkatesha
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Paper Abstract

Iris-based biometric identification is increasingly used for facility access and other security applications. Like all methods that exploit visual information, however, iris systems are limited by the quality of captured images. Optical defocus due to a small depth of field (DOF) is one such challenge, as is the acquisition of sharply-focused iris images from subjects in motion. This manuscript describes the application of computational motion-deblurring cameras to the problem of moving iris capture, from the underlying theory to system considerations and performance data.

Paper Details

Date Published: 15 May 2015
PDF: 7 pages
Proc. SPIE 9457, Biometric and Surveillance Technology for Human and Activity Identification XII, 94570C (15 May 2015); doi: 10.1117/12.2181770
Show Author Affiliations
Scott McCloskey, Honeywell ACS Labs. (United States)
Sharath Venkatesha, Honeywell ACS Labs. (United States)


Published in SPIE Proceedings Vol. 9457:
Biometric and Surveillance Technology for Human and Activity Identification XII
Ioannis A. Kakadiaris; Ajay Kumar; Walter J. Scheirer, Editor(s)

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