Methods for Iris Segmentation

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


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 challenges associated with the segmentation process, along with some of the prominent iris segmentation techniques proposed in the literature. The methods are presented according to their suitability for segmenting iris images acquired under different wavelengths of illumination. 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.


Active Contour Specular Reflection Iris Image Standoff Distance Zernike Moment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag London 2016

Authors and Affiliations

  1. 1.Digital Signal CorporationChantillyUSA
  2. 2.Integrated Pattern Recognition and Biometrics Lab (i-PRoBe)Michigan State UniversityEast LansingUSA

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