Similarity of iris texture between siblings
W Vranderic, KW Bowyer - 2013 IEEE Sixth International …, 2013 - ieeexplore.ieee.org
W Vranderic, KW Bowyer
2013 IEEE Sixth International Conference on Biometrics: Theory …, 2013•ieeexplore.ieee.orgPrior research has shown that twins' irises are similar enough in appearance for the
untrained human observer to correctly determine whether an iris image pair comes from
twins or from unrelated persons. We conducted a similar image pair classification study that
asked participants to classify an image pair as “siblings” or “unrelated”. We found that
untrained human observers can classify pairs of siblings with over 57% accuracy using the
appearance of the iris alone, without any proximal image content. This result is statistically …
untrained human observer to correctly determine whether an iris image pair comes from
twins or from unrelated persons. We conducted a similar image pair classification study that
asked participants to classify an image pair as “siblings” or “unrelated”. We found that
untrained human observers can classify pairs of siblings with over 57% accuracy using the
appearance of the iris alone, without any proximal image content. This result is statistically …
Prior research has shown that twins' irises are similar enough in appearance for the untrained human observer to correctly determine whether an iris image pair comes from twins or from unrelated persons. We conducted a similar image pair classification study that asked participants to classify an image pair as “siblings” or “unrelated”. We found that untrained human observers can classify pairs of siblings with over 57% accuracy using the appearance of the iris alone, without any proximal image content. This result is statistically greater than the accuracy of random guessing, which indicates that there is some degree of inherited texture similarity between siblings. This raises the question of how accurately one could classify siblings based on automated texture analysis.
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