• DocumentCode
    2401053
  • Title

    Iris based human recognition system

  • Author

    Jhamb, Mansi ; Khera, Vinod Kumar

  • Author_Institution
    USIT, Guru Gobind Singh Inderprastha Univ., Delhi, India
  • fYear
    2010
  • fDate
    28-29 Dec. 2010
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    The paper explores iris recognition for personal identification and verification. In this paper a new iris recognition technique is proposed using (Scale Invariant Feature Transform) SIFT. Image-processing algorithms have been validated on noised real iris image database. The proposed innovative technique is computationally effective as well as reliable in terms of recognition rates.
  • Keywords
    Hough transforms; image denoising; iris recognition; image processing algorithm; iris based human recognition system; personal identification; real iris image database; scale invariant feature transform; Databases; Eyelids; Feature extraction; Fitting; Image edge detection; Iris recognition; Transforms; Hough Transform; Iris recognition; KeyPoints; SIFT;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4244-5965-0
  • Electronic_ISBN
    978-1-4244-5967-4
  • Type

    conf

  • DOI
    10.1109/ICCIC.2010.5705766
  • Filename
    5705766
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2401053