• DocumentCode
    232346
  • Title

    A study of similarity between genetically identical body vein patterns

  • Author

    Hengyi Zhang ; Chaoying Tang ; Xiaojie Li ; Kong, Adams Wai Kin

  • Author_Institution
    Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2014
  • fDate
    9-12 Dec. 2014
  • Firstpage
    151
  • Lastpage
    159
  • Abstract
    Vein patterns have been used in commercial biometric systems for many years and are recently considered for criminal authentication. Understanding the similarity between genetically identical vein patterns is important, especially when using them in legal cases involving identical twins. Vein patterns sharing the same Deoxyribonucleic acid (DNA) sequence are generally regarded as vein patterns with maximum similarity. If they are completely distinguishable, it implies that the uniqueness of vein patterns is high. Though the genetic dependence of other biometric traits, including fingerprints, faces, palmprints, and irises, have been studied, genetically identical vein patterns have not been studied systematically. With the help of an automatic vein pattern matching algorithm, this paper analyzes and measures the similarity between genetically identical vein patterns. 234 genetically identical forearm pairs and 204 genetically identical thigh pairs were collected for this study. Experimental results indicate that genetically identical vein patterns have extra similarity, but they are distinguishable.
  • Keywords
    DNA; genetics; image matching; vein recognition; DNA sequence; Deoxyribonucleic acid sequence; automatic vein pattern matching algorithm; biometric traits; commercial biometric systems; criminal authentication; faces; fingerprints; genetic dependence; genetically identical body vein patterns similarity; genetically identical forearm pairs; genetically identical thigh pairs; identical twins; irises; legal cases; palmprints; vein patterns uniqueness; Fingerprint recognition; Pattern matching; Skin; Thigh; Thumb; Veins; Identical twins; biometrics; criminal and victim identification; vein patterns;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Biometrics and Identity Management (CIBIM), 2014 IEEE Symposium on
  • Conference_Location
    Orlando, FL
  • Type

    conf

  • DOI
    10.1109/CIBIM.2014.7015457
  • Filename
    7015457