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Iris segmentation using pupil location, linearization, and limbus boundary reconstruction in ambient intelligent environments

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Abstract

Advances in sensors and technology, on one side, and recognition techniques, on the other side, make the iris a top candidate for biometric use. Iris detection and segmentation, however, are still lacking. We propose here a novel iris segmentation technique using pupil location, linearization, and limbus boundary reconstruction, and show its feasibility and comparative advantages against existing methods.

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Authors and Affiliations

  1. Sapienza Università di Roma, Via Salaria 113, 00198, Rome, Italy

    Maria De Marsico

  2. Università di Salerno, Via Ponte don Melillo, 84084, Fisciano (SA), Italy

    Michele Nappi & Daniel Riccio

  3. Department of Computer Science, George Mason University, Fairfax, VA, 22030, USA

    Harry Wechsler

Authors
  1. Maria De Marsico
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  2. Michele Nappi
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  3. Daniel Riccio
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  4. Harry Wechsler
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Correspondence to Michele Nappi.

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De Marsico, M., Nappi, M., Riccio, D. et al. Iris segmentation using pupil location, linearization, and limbus boundary reconstruction in ambient intelligent environments. J Ambient Intell Human Comput 2, 153–162 (2011). https://doi.org/10.1007/s12652-010-0035-x

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  • DOI: https://doi.org/10.1007/s12652-010-0035-x

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