Using the Watershed Transform for Iris Detection

  • Maria Frucci
  • Michele Nappi
  • Daniel Riccio
  • Gabriella Sanniti di Baja
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8157)

Abstract

Iris biometric systems are of interest for security applications. In this respect, iris segmentation has a key role, as it must be fast and accurate. In this paper, we present a new watershed based approach for iris segmentation in color images. The watershed transform is used in two distinct phases of iris segmentation: it is first used to obtain a preliminary segmentation, which constitutes the input to a circle fitting procedure; then, it is used together with the portion of the input image resulting after circle fitting to identify more precisely the pixels actually belonging to the iris. The experimental results show that the suggested approach is effective with respect to both location accuracy and computational complexity.

Keywords

Biometrics iris detection watershed transformation circle fitting 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Maria Frucci
    • 1
  • Michele Nappi
    • 2
  • Daniel Riccio
    • 3
  • Gabriella Sanniti di Baja
    • 1
  1. 1.Istituto di Cibernetica “E. Caianiello”Napoli
  2. 2.Università degli Studi di SalernoFiscianoItaly
  3. 3.Università degli Studi di Napoli Federico IINapoli

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