• DocumentCode
    3516439
  • Title

    Geometric distortion signatures for printer identification

  • Author

    Bulan, Orhan ; Mao, Junwen ; Sharma, Gaurav

  • Author_Institution
    ECE Dept., Univ. of Rochester, Rochester, NY
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    1401
  • Lastpage
    1404
  • Abstract
    We present a forensic technique for analyzing a printed image in order to trace the originating printer. Our method, which is applicable for commonly used electrophotographic (EP) printers, operates by exploiting the geometric distortion that these devices inevitably introduce in the printing process. In the proposed method, first a geometric distortion signature is estimated for an EP printer. This estimate is obtained using only the images printed on the printer and without access to the internal printer controls. Once a database of printer signatures is available, the printer utilized to print a test image is identified by computing the geometric distortion signature from test image and correlating the computes signatures against the printer signatures in the database. Experiments conducted over a corpus of EP printers demonstrate that the geometric distortion signatures of test documents exhibit high correlation with the corresponding printer signatures and a low correlation with other printer signatures. The method is therefore quite promising for forensic printer identification applications. We highlight several of the capabilities and challenges for the method.
  • Keywords
    document image processing; electrophotography; forensic science; printers; electrophotographic printers; geometric distortion signatures; hardcopy document forensics; printer identification; Forensics; Image analysis; Image databases; Information security; Law; Legal factors; Printers; Printing; Spatial databases; Testing; Printer forensics; geometric distortion signature; hardcopy document forensics; printer identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4959855
  • Filename
    4959855