Matey, J.
, Grother, P.
and Quinn, G.
(2020),
Analysis of Iris Images from Twins Day – 2010, Technical Note (NIST TN), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.TN.2097
(Accessed October 31, 2024)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Analysis of Iris Images from Twins Day 2010
Published
Author(s)
, ,
Abstract
Each year since 1976, the town of Twinsburg, Ohio has held a Twins Day Festival. Over the past 43 years over $77,000$ sets of twins and multiples have attended -- with many repeat visits over the years. Prof. Jeremy Dawson and other staff from the the West Virginia University biometrics effort have engaged with the Twins Days organizers since 2010 to collect biometric data from twins attending the festivals; the collections were carried out under IRB protocols and with informed consent of the individuals participating. NIST recently obtained copies of the Twins Day data for use in ongoing evaluations of face, finger and iris recognition algorithms. This paper is an initial analysis of the iris images taken at the 2010 festival. We see no evidence that the non-mated distribution for identical twin pairs is significantly different from that for unrelated individuals. This is not a surprise; Daugman demonstrated that a non-mated distribution of match scores from genetically identical left/right pairs from the same individual is not significantly different from that for pairs from different individuals. That paper also reported no significant difference for a small (six pair-wise comparisons) group of mono-zygotic twins. This paper presents results from a somewhat larger group of twins using two commercial algorithms. Analysis of iris images from subsequent festivals as well as face and finger images are planned.Citation
Technical Note (NIST TN) - 2097
Report Number
2097
NIST Pub Series
Pub Type
NIST Pubs
Download Paper
Keywords
iris recognition, biometrics, twins
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.
Created June 16, 2020