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
Link To Document