• DocumentCode
    117842
  • Title

    Finger vascular pattern imaging — A comprehensive evaluation

  • Author

    Raghavendra, R. ; Raja, Kiran B. ; Surbiryala, Jayachander ; Busch, Christoph

  • Author_Institution
    Norwegian Biometrie Lab., Gjovik Univ. Coll., Gjovik, Norway
  • fYear
    2014
  • fDate
    9-12 Dec. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Highly unique pattern of the vein within the finger makes it robust biometric characteristic which is instrumental in achieving low error rates for verification. Vascular pattern is reliable in many terms as they are characterized by very low error rates, good spoofing resistance and user convenience when compared with other existing biométrie modalities. In this paper, we present an extensive study of the state-of-the-art algorithms for vein recognition on a newly developed vein sensor. To this extent we collected a database using our newly designed finger vein imaging sensor. The database comprises of 1780 finger vein samples corresponding to 89 unique fingers from 32 subjects and benchmark the verification results on the newly composed database.
  • Keywords
    image sensors; vein recognition; finger vascular pattern imaging; finger vein imaging sensor; vein recognition; Conferences; Databases; Feature extraction; Fingers; Imaging; Pattern recognition; Veins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Asia-Pacific Signal and Information Processing Association, 2014 Annual Summit and Conference (APSIPA)
  • Conference_Location
    Siem Reap
  • Type

    conf

  • DOI
    10.1109/APSIPA.2014.7041520
  • Filename
    7041520