Abstract
Automatic identification methods based on physical biometric characteristics such as fingerprint or iris can provide positive identification with a very high accuracy. However, the biometrics-based methods assume that the physical characteristics of an individual (as captured by a sensor) used for identification are distinctive. Identical twins have the closest genetics-based relationship and, therefore, the maximum similarity between fingerprints is expected to be found among identical twins. We show that a state-of-the-art automatic fingerprint identification system can successfully distinguish identical twins though with a slightly lower accuracy than nontwins.
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© 2001 Springer-Verlag Berlin Heidelberg
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Jain, A.K., Prabhakar, S., Pankanti, S. (2001). Twin Test: On Discriminability of Fingerprints. In: Bigun, J., Smeraldi, F. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2001. Lecture Notes in Computer Science, vol 2091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45344-X_30
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DOI: https://doi.org/10.1007/3-540-45344-X_30
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