• DocumentCode
    3632083
  • Title

    Low-complexity iris recognition using one-bit transform and angular radial partitioning

  • Author

    Aysun Tasyapi Celebi;M. Kemal Gullu;Sarp Erturk

  • Author_Institution
    Elektronik ve Haberle?me M?hendisli?i B?l?m?, Veziro?lu Yerle?kesi, Kocaeli ?niversitesi, 41040, ?zmit, Turkey
  • fYear
    2009
  • fDate
    4/1/2009 12:00:00 AM
  • Firstpage
    696
  • Lastpage
    699
  • Abstract
    In this paper, a novel low-complexity iris recognition system based on 1-bit transform (1BT) and angular radial partitioning (ARP) is proposed. A binary iris image is obtained using 1BT on iris image. ARP is applied to this binary image and a feature vector is extracted considering the amount of data in the partitions and identification is executed. An important advantage of the proposed approach is its low-complexity. Furthermore, the method gives high identification and verification accuracies.
  • Keywords
    "Iris recognition","Feature extraction","Data mining","Charge coupled devices","Testing","Gaussian processes","Laplace equations"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference, 2009. SIU 2009. IEEE 17th
  • ISSN
    2165-0608
  • Print_ISBN
    978-1-4244-4435-9
  • Type

    conf

  • DOI
    10.1109/SIU.2009.5136491
  • Filename
    5136491
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3632083