A Study of Identical Twins’ Palmprints for Personal Authentication

  • Adams Kong
  • David Zhang
  • Guangming Lu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3832)

Abstract

Biometric recognition based on human characteristics for personal identification has attracted great attention. The performance of biometric systems highly depends on the distinctive information in the biometrics. However, identical twins having the closest genetics-based relationship are expected to have maximum similarity between their biometrics. Classifying identical twins is a challenging problem for some automatic biometric systems. In this paper, we summarize the exiting experimental results about identical twins’ biometrics including face, iris, fingerprint and voice. Then, we systemically examine identical twins’ palmprints. The experimental results show that we can employ low-resolution palmprint images to distinguish identical twins.

Keywords

Deoxyribo Nucleic Acid Identical Twin Biometric System Speaker Verification Personal Authentication 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Jain, A.K., Ross, A., Prabhakar, S.: An introduction to biometric recognition. IEEE Trans. CSVT 14(1), 4–20 (2004)Google Scholar
  2. 2.
    Nora, J.J., Fraser, F.C., Bear, J., Greenberg, C.R., Patterson, D., Warburton, D.: Twins and theirs use in genetics. In: Medical Genetics: Principles and Practice, 4th edn., Philadelphia, Lea & Febiger (1994)Google Scholar
  3. 3.
    Richards, E.P.: Phenotype vs. genotype: why identical twins have different fingerprints, available at http://www.forensic-evidence.com/site/ID/ID_Twins.html
  4. 4.
    Cyranoski, D.: Detectors licked by gummy fingers. Nature 416, 676 (2002)CrossRefGoogle Scholar
  5. 5.
  6. 6.
  7. 7.
    Daugman, J., Downing, C.: Epigenetic randomness, complexity and singularity of human iris patterns. Proceedings of the Royal Society, B 268, 1737–1740 (2001)CrossRefGoogle Scholar
  8. 8.
    Kong, A.W.K., Zhang, D.: Competitive coding scheme for palmprint verification. Proc. ICPR 1, 520–523 (2004)Google Scholar
  9. 9.
    Jain, A.K., Prabhakar, S., Pankanti, S.: On the similarity of identical twin fingerprint. Pattern Recognition 35(11), 2653–2663 (2002)MATHCrossRefGoogle Scholar
  10. 10.
    Kimmel, R.: Numerical Geometry of Image. Springer, New York (2003)Google Scholar
  11. 11.
    Voth, D.: Face recognition technology. IEEE Magazine on Intelligent Systems 18(3), 4–7 (2003)CrossRefGoogle Scholar
  12. 12.
    Large scale evaluation of automatic speaker verification technology: dialogues spotlight technology report, The Centre for Communication Interface Research at The University of Edinburgh (May 2000), available at http://www.nuance.com/assets/pdf/ccirexecsum.pdf
  13. 13.
    Kodate, K., Inaba, R., Watanabe, E., Kamiya, T.: Facial recognition by a compact parallel optical correlator. Measurement Science and Technology 13, 1756–1766 (2002)CrossRefGoogle Scholar
  14. 14.
    Chibelushi, C.C., Deravi, F., Mason, J.S.D.: Adaptive classifier integration for robust pattern recognition. IEEE Trans. on SMC, Part B 29(6), 902–907 (1999)Google Scholar
  15. 15.
    Simon, C., Goldstein, I.: A new scientific method of identification. New York state journal of medicine 35(18), 901–906 (1935)Google Scholar
  16. 16.
    Tower, P.: The fundus oculi in monozygotic twins: report of six pairs of identical twins. Archives of ophthalmology 54, 225–239 (1955)Google Scholar
  17. 17.
    Flom, L., Safir, A.: U.S. Patent No. 4641349, U.S. Government Printing Office, Washington, DC (1987)Google Scholar
  18. 18.
    Phillips, P.J., Martin, A., Wilson, C.L., Przybocki, M.: An introduction to evaluating biometric systems. Computer 33(2), 56–63 (2000)CrossRefGoogle Scholar
  19. 19.
  20. 20.
    Zhang, D., Kong, W.K., You, J., Wong, M.: On-line palmprint identification. IEEE Trans. PAMI 25(9), 1041–1050 (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Adams Kong
    • 1
    • 2
  • David Zhang
    • 2
  • Guangming Lu
    • 3
  1. 1.Pattern Analysis and Machine Intelligence LabUniversity of WaterlooWaterlooCanada
  2. 2.Biometric Research Centre, Department of ComputingThe Hong Kong Polytechnic UniversityKowloon, Hong Kong
  3. 3.Biocomputing Research Lab, School of Computer Science and EngineeringHarbin Institute of TechnologyHarbinChina

Personalised recommendations