• DocumentCode
    617752
  • Title

    Sift-based iris recognition using sub-segments

  • Author

    Mesecan, Ibrahim ; Eleyan, A. ; Karlik, Bekir

  • Author_Institution
    Comput. Eng., Epoka Univ. Tirana, Tirana, Albania
  • fYear
    2013
  • fDate
    9-11 May 2013
  • Firstpage
    350
  • Lastpage
    353
  • Abstract
    In this paper, we investigate the use of Scale Invariant Feature Transform (SIFT) for iris recognition problem with sub-segments. Instead of using the whole iris, we extracted sub-segments from the iris image for classification. These subsegments were used separately for classification. Also, feature based fusion is applied using different sub-segments from the same iris. A preprocessing step for cropping the iris area from the images was address in this paper as well to increase performance of the system. The simulation results show high performance on the used database.
  • Keywords
    computer vision; feature extraction; image classification; image fusion; image segmentation; iris recognition; transforms; feature-based fusion; iris area cropping; iris image classification; scale invariant feature transform; sift-based iris recognition; sub-segment extraction; Computers; Educational institutions; Image recognition; Iris recognition; Vectors; fusion; iris recognition; scale invariant feature transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), 2013 International Conference on
  • Conference_Location
    Konya
  • Print_ISBN
    978-1-4673-5612-1
  • Type

    conf

  • DOI
    10.1109/TAEECE.2013.6557299
  • Filename
    6557299