GESLIC: genetic and evolutionary-based short-length iris codes

Authors:
Brandon Baker;Kelvin S. Bryant;Gerry V. Dozier
Affiliations:
North Carolina A&T State University, Greensboro, NC;North Carolina A&T State University, Greensboro, NC;North Carolina A&T State University, Greensboro, NC
Venue:
Proceedings of the 49th Annual Southeast Regional Conference
Year:
2011

Citing 6
Cited 1

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Abstract

The discriminative potential of the human iris has been the center of much attention in the past decade. Feature selection has proven to be an effective means of increasing performance of current iris recognition systems. This paper introduces a novel method of reducing the size of iris codes by the use of genetic & evolutionary computing to eliminate bits corresponding to entire rings of the iris.