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)


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.


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.


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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

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