• DocumentCode
    148584
  • Title

    Color laser printer identification using photographed halftone images

  • Author

    Do-Guk Kim ; Heung-Kyu Lee

  • Author_Institution
    Grad. Sch. of Inf. Security, KAIST, Daejeon, South Korea
  • fYear
    2014
  • fDate
    1-5 Sept. 2014
  • Firstpage
    795
  • Lastpage
    799
  • Abstract
    Due to the spread of color laser printers to the general public, numerous forgeries are made by color laser printers. Printer identification is essential to preventing damage caused by color laser printed forgeries. This paper presents a new method to identify a color laser printer using photographed halftone images. First, we preprocess the photographed images to extract the halftone pattern regardless of the variation of the illumination conditions. Then, 15 halftone texture features are extracted from the preprocessed images. A support vector machine is used to be trained and classify the extracted features. Experiments are performed on seven color laser printers. The experimental results show that the proposed method is suitable for identifying the source color laser printer using photographed images.
  • Keywords
    feature extraction; image classification; support vector machines; color laser printed forgeries; color laser printer identification; image classification; photographed halftone images; support vector machine; texture feature extraction; Colored noise; Discrete Fourier transforms; Feature extraction; Image color analysis; Lasers; Printers; Printing; Digital forensics; Discrete Fourier Transform; Printer identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European
  • Conference_Location
    Lisbon
  • Type

    conf

  • Filename
    6952258