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Proceedings Paper

Hardware based segmentation in iris recognition and authentication systems
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Paper Abstract

Iris recognition algorithms depend on image processing techniques for proper segmentation of the iris. In the Ridge Energy Direction (RED) iris recognition algorithm, the initial step in the segmentation process searches for the pupil by thresholding and using binary morphology functions to rectify artifacts obfuscating the pupil. These functions take substantial processing time in software on the order of a few hundred million operations. Alternatively, a hardware version of the binary morphology functions is implemented to assist in the segmentation process. The hardware binary morphology functions have negligible hardware footprint and power consumption while achieving speed up of 200 times compared to the original software functions.

Paper Details

Date Published: 4 May 2009
PDF: 10 pages
Proc. SPIE 7351, Mobile Multimedia/Image Processing, Security, and Applications 2009, 73510W (4 May 2009); doi: 10.1117/12.820239
Show Author Affiliations
Bradley J. Ulis, U.S. Naval Academy (United States)
Randy P. Broussard, U.S. Naval Academy (United States)
Ryan N. Rakvic, U.S. Naval Academy (United States)
Robert W. Ives, U.S. Naval Academy (United States)
Neil Steiner, Univ. of Southern California (United States)
Hau Ngo, U.S. Naval Academy (United States)

Published in SPIE Proceedings Vol. 7351:
Mobile Multimedia/Image Processing, Security, and Applications 2009
Sos S. Agaian; Sabah A. Jassim, Editor(s)

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