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Handbook of Iris Recognition pp 239–279Cite as

Methods for Iris Segmentation

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Part of the book series: Advances in Computer Vision and Pattern Recognition ((ACVPR))

Abstract

Under ideal image acquisition conditions, the iris biometric has been observed to provide high-recognition performance compared to other biometric traits. Such a performance is possible by accurately segmenting the iris region from the given ocular image. This chapter discusses the various challenges associated with the segmentation process, along with some of the prominent iris segmentation techniques proposed in the literature. Furthermore, methods to refine and evaluate the output of the iris segmentation routine are presented. The goal of this chapter is to provide a brief overview of the progress made in iris segmentation.

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Notes

  1. 1.

    The term “iris boundaries” is used in this chapter to collectively refer to both the pupillary and limbus boundaries.

  2. 2.

    This is true for images obtained in the near-infrared spectrum.

  3. 3.

    The process of generating a noise mask and the subsequent schemes for iris normalization and matching are very similar in a majority of iris recognition algorithms. However, as this chapter focuses only on iris segmentation, these details are not discussed. The reader is directed to the original publication by Daugman [4] for further information.

  4. 4.

    The subscript tdenotes the iteration number.

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Acknowledgements

This work was partially funded by US National Science Foundation CAREER Grant No. IIS 0642554.

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Authors and Affiliations

  1. West Virginia University, Morgantown, WV, USA

    Raghavender Jillela & Arun A. Ross

Authors
  1. Raghavender Jillela
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  2. Arun A. Ross
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Correspondence to Raghavender Jillela .

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Editors and Affiliations

  1. MITRE Corporation, Colshire Drive 7515, McLean, 22102-7539, Virginia, USA

    Mark J. Burge

  2. , Department of Computer Science and Engin, University of Notre Dame, Fitzpatrick Hall 384, Notre Dame, 46556-5637, Indiana, USA

    Kevin W. Bowyer

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Jillela, R., Ross, A.A. (2013). Methods for Iris Segmentation. In: Burge, M., Bowyer, K. (eds) Handbook of Iris Recognition. Advances in Computer Vision and Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-4471-4402-1_13

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  • DOI: https://doi.org/10.1007/978-1-4471-4402-1_13

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