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Iris Detection through Watershed Segmentation

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8897))

Abstract

In this paper, we present a new iris detection method based on the use of watershed segmentation. The watershed transform is used for both pupil and iris detection, in combination with image quantization, aimed at reducing the number of gray levels, and image thresholding, aimed at obtaining a tentative discrimination between foreground and background. The method has been tested on the CASIA-Iris-Interval Image database.

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References

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Correspondence to Maria Frucci .

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© 2014 Springer International Publishing Switzerland

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Ferone, A., Frucci, M., Petrosino, A., Sanniti di Baja, G. (2014). Iris Detection through Watershed Segmentation. In: Cantoni, V., Dimov, D., Tistarelli, M. (eds) Biometric Authentication. BIOMET 2014. Lecture Notes in Computer Science(), vol 8897. Springer, Cham. https://doi.org/10.1007/978-3-319-13386-7_5

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  • DOI: https://doi.org/10.1007/978-3-319-13386-7_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13385-0

  • Online ISBN: 978-3-319-13386-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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