A Fast and Robust Iris Segmentation Method

Authors:
Noé Otero-Mateo;Miguel Ángel Vega-Rodríguez;Juan Antonio Gómez-Pulido;Juan Manuel Sánchez-Pérez
Affiliations:
Dept. of Computer Science, University of Extremadura, Escuela Politécnica. Campus Universitario s/n. 10071, Cáceres, Spain;Dept. of Computer Science, University of Extremadura, Escuela Politécnica. Campus Universitario s/n. 10071, Cáceres, Spain;Dept. of Computer Science, University of Extremadura, Escuela Politécnica. Campus Universitario s/n. 10071, Cáceres, Spain;Dept. of Computer Science, University of Extremadura, Escuela Politécnica. Campus Universitario s/n. 10071, Cáceres, Spain
Venue:
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
Year:
2007

Citing 3
Cited 3

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Abstract

Image preprocessing stage (also known as iris segmentation) is the first step of the iris recognition process and determines its accuracy. In this paper, we propose a method for iris segmentation. In order to get a robust method we combine several well-know techniques to achieve final result. As some of these techniques are based on intensive searching, therefore slow, we apply our knowledge of the problem (iris image features and iris morphology) to speed up the algorithms by reducing search spaces and discarding information. We present a fast and robust iris segmentation method that successfully works on CASIA 1.0 dataset.