A study of identical twins' palmprints for personal verification

Adams Wai Kin Kong, Dapeng Zhang, Guangming Lu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

78 Citations (Scopus)

Abstract

Automatic biometric systems based on human characteristics for personal identification have attracted great attention. Their performance highly depends on the distinctive information in the biometrics. Identical twins having the closest genetics-based relationship are expected to have maximum similarity in their biometrics. Classifying identical twins is a challenging problem for some automatic biometric systems. Palmprint has been studied for personal identification for over seven years. Most of the previous research concentrates on algorithm development. In this paper, we systemically examine palmprints from the same DNA for automatic personal identification and to uncover the genetically related palmprint features. The experimental results show that the three principal lines and some portions of weak lines are genetically related features but our palms still contain rich genetically unrelated features for classifying identical twins.
Original languageEnglish
Pages (from-to)2149-2156
Number of pages8
JournalPattern Recognition
Volume39
Issue number11
DOIs
Publication statusPublished - 1 Nov 2006

Keywords

  • Biometric
  • Identical twins
  • Palmprint
  • Personal identification

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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