• DocumentCode
    2796009
  • Title

    Electrophotographic printer identification by halftone texture analysis

  • Author

    Ryu, Seung-Jin ; Lee, Hae-Yeoun ; Im, Dong-Hyuck ; Choi, Jung-Ho ; Lee, Heung-Kyu

  • Author_Institution
    Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    1846
  • Lastpage
    1849
  • Abstract
    Estimating printing source is applicable in many forensic situations. In this paper, we propose an electrophotographic printer identification scheme from its printed material, in which imperceptible halftone patterns are contained inherently. The halftone textures in each channel of CMYK domain are analyzed. We construct a histogram from angle values of linear features extracted by Hough transform. By averaging the histograms from multiple images, a printer´s reference pattern is identified. The source printer is determined by a maximum correlation value between the reference patterns and the histogram of given image. Experiments are performed on 9,000 images made by 9 printers. The result supports that the presented scheme clearly recognizes different halftone textures.
  • Keywords
    Hough transforms; correlation methods; document image processing; electrophotography; feature extraction; identification technology; image texture; printers; CMYK domain channel; Hough transform; angle values; electrophotographic printer identification; feature extraction; forensic situations; halftone texture analysis; histograms; maximum correlation value; printed material; printing source; Digital forensics; Feature extraction; Forgery; Histograms; Image analysis; Image color analysis; Image texture analysis; Printers; Printing; Statistical analysis; Digital forensics; Hough transform; Printer identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5495377
  • Filename
    5495377