• DocumentCode
    3459058
  • Title

    Similarity of iris texture between identical twins

  • Author

    Hollingsworth, K. ; Bowyer, K.W. ; Flynn, P.J.

  • Author_Institution
    Univ. of Notre Dame, Notre Dame, IN, USA
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    22
  • Lastpage
    29
  • Abstract
    Prior research has shown that the textural detail of the iris is sufficiently distinctive to distinguish identical twin siblings. However, no research has addressed the question of whether twins´ irises are sufficiently similar in some sense to correctly determine that two irises are from twins. We conducted a human classification study in which participants were asked to label pairs of iris images as “twins” or “unrelated”. Participants were given three seconds to view each pair of images. We found that untrained humans can classify pairs of twins with more than 81% accuracy using the appearance of the iris alone, without any proximal image content such as eyelashes, eyelids, or tear duct visible. When expressing confident judgment, they are over 92% accurate.
  • Keywords
    image classification; image texture; iris recognition; identical twin siblings; identical twins; image content; iris texture similarity; textural detail; Biometrics; Eyes; Genetics; Humans; Image analysis; Image databases; Image texture analysis; Iris; Protection; Waveguide discontinuities;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE Computer Society Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    2160-7508
  • Print_ISBN
    978-1-4244-7029-7
  • Type

    conf

  • DOI
    10.1109/CVPRW.2010.5543237
  • Filename
    5543237