DIVERSITY OF HUMAN FINGER VEIN PATTERNS AND ITS APPLICATION TO PERSONAL IDENTIFICATION

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Abstract

Diversity of human finger vein images is shown by extracting their patterns from the right and left index fingers, and middle fingers of 506 person and the usefulness of finger veins patterns for personal identification is shown by evaluating the false acceptance and false rejection rates. These rates depend on the cut-off point. When we set it C=0.290 it is shown in this paper that those rates are estimated to be 0.00000001% and 0.00005%, respectively.

Journal

  • Bulletin of informatics and cybernetics

    Bulletin of informatics and cybernetics (41), 1-9, 2009-12

    Research Association of Statistical Sciences

Codes

  • NII Article ID (NAID)
    120003878375
  • NII NACSIS-CAT ID (NCID)
    AA10634475
  • Text Lang
    ENG
  • Article Type
    journal article
  • ISSN
    0286-522X
  • Data Source
    IR 
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