Texture detection for segmentation of iris images

Authors:
Asheer Kasar Bachoo;Jules-Raymond Tapamo
Affiliations:
University of Kwa-Zulu Natal;University of Kwa-Zulu Natal
Venue:
SAICSIT '05 Proceedings of the 2005 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries
Year:
2005

Citing 10
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Abstract

The idea of using the distinct spatial distribution of patterns in the human iris for person authentication is now a widely developing technology. Current systems rely on a set of basic assumptions in order to improve the accuracy and running time of the recognition process. The advent of a robust system implies a viable solution to a number of general problems. This paper focuses on a common yet difficult problem - the segmentation of eyelashes from iris texture. Tests give promising results when using grey level co-occurrence matrix (GLCM) approach.