Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
On the Individuality of Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recent Advances in Fingerprint Verification
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Biometric Authentication in Infrastructure Security
InfraSec '02 Proceedings of the International Conference on Infrastructure Security
Biometric identification systems
Signal Processing
A Computational Discriminability Analysis on Twin Fingerprints
IWCF '09 Proceedings of the 3rd International Workshop on Computational Forensics
A case study on discrimination of identical twins in India
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
A study on evaluating the uniqueness of fingerprints using statistical analysis
ICISC'04 Proceedings of the 7th international conference on Information Security and Cryptology
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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.