• DocumentCode
    3622319
  • Title

    Source Cell-phone Identification

  • Author

    Celiktutan; Avcibas; Sankur; Ayerden; Capar

  • Author_Institution
    Boğ
  • fYear
    2006
  • fDate
    6/28/1905 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    In this paper, we focus on blind source cell-phone identification problem. The main idea is that proprietary interpolation algorithm (involved due to the structure of color filter array [CFA]) leaves footprints in the form of correlations across adjacent bit planes of images. For this purpose, we explore a set of binary similarity measures, image quality measures and higher order wavelet statistics in conjunction with KNN and SVM classifiers to identify the originating cell-phone. We provide identification results among 9 different brand cell-phone cameras
  • Keywords
    "Influenza","Filters","Histograms","Interpolation","Lenses","Image quality","Higher order statistics","Support vector machines","Support vector machine classification","Cameras"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications, 2006 IEEE 14th
  • ISSN
    2165-0608
  • Print_ISBN
    1-4244-0238-7
  • Type

    conf

  • DOI
    10.1109/SIU.2006.1659882
  • Filename
    1659882