Hardware based segmentation in iris recognition and authentication systems

Bradley J. Ulis; Randy P. Broussard; Ryan N. Rakvic; Robert W. Ives; Neil Steiner; Hau Ngo

doi:10.1117/12.820239

4 May 2009 Hardware based segmentation in iris recognition and authentication systems

Bradley J. Ulis; Randy P. Broussard; Ryan N. Rakvic; Robert W. Ives; Neil Steiner; Hau Ngo

Author Affiliations +

Proceedings Volume 7351, Mobile Multimedia/Image Processing, Security, and Applications 2009; 73510W (2009) https://doi.org/10.1117/12.820239
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

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Bradley J. Ulis, Bradley J. Ulis, Randy P. Broussard, Randy P. Broussard, Ryan N. Rakvic, Ryan N. Rakvic, Robert W. Ives, Robert W. Ives, Neil Steiner, Neil Steiner, Hau Ngo, Hau Ngo, } "Hardware based segmentation in iris recognition and authentication systems", Proc. SPIE 7351, Mobile Multimedia/Image Processing, Security, and Applications 2009, 73510W (4 May 2009); doi: 10.1117/12.820239; https://doi.org/10.1117/12.820239

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