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Proceedings Paper

Preprocessing of off-axis iris images for recognition
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Paper Abstract

Iris recognition is an increasingly popular biometric due to its relative ease of use and high reliability. However, commercially available systems typically require on-axis images for recognition, meaning the subject is looking in the direction of the camera. The feasibility of using off-axis images is an important area of investigation for iris systems with more flexible user interfaces. The authors present an analysis of two image transform processes for off-axis images and an analysis of the utility of correcting for cornea refraction effects. The performance is assessed on the U.S. Naval Academy iris image database using the Ridge Energy Direction recognition algorithm developed by the authors, as well as with a commercial implementation of the Daugman algorithm.

Paper Details

Date Published: 3 October 2008
PDF: 9 pages
Proc. SPIE 7119, Optics and Photonics for Counterterrorism and Crime Fighting IV, 711906 (3 October 2008); doi: 10.1117/12.800238
Show Author Affiliations
Lauren R. Kennell, U.S. Naval Academy (United States)
Randy P. Broussard, U.S. Naval Academy (United States)
Robert W. Ives, U.S. Naval Academy (United States)
James R. Matey, U.S. Naval Academy (United States)


Published in SPIE Proceedings Vol. 7119:
Optics and Photonics for Counterterrorism and Crime Fighting IV
Gari Owen, Editor(s)

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