GA-Based Iris/Sclera Boundary Detection for Biometric Iris Identification

Authors:
Tatiana Tambouratzis;Michael Masouris
Affiliations:
Department of Industrial Management and Technology, University of Piraeus, 107 Deligiorgi St., Piraeus 185 34, Athens, Greece;Department of Industrial Management and Technology, University of Piraeus, 107 Deligiorgi St., Piraeus 185 34, Athens, Greece and Institute of Nuclear Technology --- Radiation Protection, NSCR `De ...
Venue:
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Year:
2007

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Abstract

Iris identification (IRI) constitutes an increasingly accepted methodology of biometrics. IRIis based on the successful encoding and matching of distinctive iris features (folds, freckles etc.), which - in turn - presupposes that iris segmentation has been accurately performed. In contrast to the inner (iris/pupil) iris boundary, which --- owing to the high contrast between the adjacent areas - is relatively easy to localize, detection of the outer (iris/sclera) iris boundary is more challenging since the low contrast between the separated areas often results in fragmented, ambiguous and spurious edges. A novel approach to iris boundary detection is presented here, featuring a genetic algorithm (GA) for outer iris boundary detection.