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.
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Otero-Mateo, N., Vega-Rodríguez, M.Á., Gómez-Pulido, J.A., Sánchez-Pérez, J.M. (2007). A Fast and Robust Iris Segmentation Method. In: Martí, J., Benedí, J.M., Mendonça, A.M., Serrat, J. (eds) Pattern Recognition and Image Analysis. IbPRIA 2007. Lecture Notes in Computer Science, vol 4478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72849-8_21
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DOI: https://doi.org/10.1007/978-3-540-72849-8_21
Publisher Name: Springer, Berlin, Heidelberg
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