• DocumentCode
    3353736
  • Title

    SVD Based Source Cell-Phone Identification

  • Author

    Gul, Gokhan ; Avcibas, I.

  • Author_Institution
    Inst. for Circuits & Syst. Theor., Kiel Univ., Kiel, Germany
  • fYear
    2007
  • fDate
    11-13 June 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We propose a method for the identification of the source cellphone from a given image. The sensors, digital image formation pipeline and color filter interpolation algorithms used in different brands of cell-phones make the image unique to the camera. Our method is based on the analysis of strict and relative linear dependance in image rows and columns by the use of singular value decomposition (SVD). We define SVD based features that summarize macro and micro statistical properties of the images. These features are then used with support vector machines for the identification of the image sources. Experimental results show that we can identify 10 different sources with 93% accuracy.
  • Keywords
    cellular radio; filtering theory; image colour analysis; image sensors; singular value decomposition; statistical analysis; support vector machines; color filter interpolation algorithms; digital image formation pipeline; image sources identification; macro statistical properties; micro statistical properties; sensors; singular value decomposition; source cell-phone identification; support vector machines; Cellular phones; Digital cameras; Digital filters; Digital images; Image analysis; Image sensors; Interpolation; Pipelines; Singular value decomposition; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
  • Conference_Location
    Eskisehir
  • Print_ISBN
    1-4244-0719-2
  • Electronic_ISBN
    1-4244-0720-6
  • Type

    conf

  • DOI
    10.1109/SIU.2007.4298577
  • Filename
    4298577