• DocumentCode
    3224420
  • Title

    Reconstruction Algorithm of Iris Image with Great Depth of Field Based on Multi-focus Fusion

  • Author

    Gong, Yazhuo ; Shi, Pengfei

  • Author_Institution
    Inst. of Digital Printing, Univ. of Shanghai for Sci. & Technol., Shanghai
  • Volume
    2
  • fYear
    2008
  • fDate
    20-22 Oct. 2008
  • Firstpage
    165
  • Lastpage
    169
  • Abstract
    This paper presents a new reconstruction algorithm of iris image with great depth of field. First, the focus issue in image capture process is proposed, and characteristic of multi-focus iris image is discussed, which proves the feasibility of reconstruction of iris image with great depth of field based on multi-focus fusion. The proposed method uses antisymmetric biorthogonal wavelet to detect the iris texture edge, and according to the density of edge pixels, chooses the iris sub-regions of high articulation for image fusion. Finally, experimental data set compared with traditional non-fusion method is presented, and the proposed method shows its advantages in performance and practical value in registration process.
  • Keywords
    edge detection; image fusion; image reconstruction; image registration; image texture; wavelet transforms; antisymmetric biorthogonal wavelet; image capture; image fusion; image reconstruction; image registration; iris image; iris texture edge detection; multifocus fusion; Apertures; Cameras; Focusing; Forward contracts; Gray-scale; Image edge detection; Iris recognition; Lenses; Muscles; Reconstruction algorithms; depth of field; iris recognition; multi-focus images fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3357-5
  • Type

    conf

  • DOI
    10.1109/ICICTA.2008.135
  • Filename
    4659744