• DocumentCode
    3512715
  • Title

    Printer Identification Based on Distance Transform

  • Author

    Deng, Wei ; Chen, Qinghu ; Yuan, Feng ; Yan, Yuchen

  • Author_Institution
    Sch. of Electron. Inf., Wuhan Univ., Wuhan
  • fYear
    2008
  • fDate
    1-3 Nov. 2008
  • Firstpage
    565
  • Lastpage
    568
  • Abstract
    Printed document examination plays an important role in public security. A printer identification system is presented for the purpose of identifying the printer which created a suspect printed document. It is composed of image acquisition, image preprocessing and character matching. An optical instrument is developed for document image observation and acquisition under high resolution. Normalized printed characters are obtained and recognized in preprocessing. Distance transform algorithm is applied to character image matching and distance between printed documents is calculated. Finally the minimum distance classifier is applied to printer identification. Experiments are carried out in a database including 45 laser printers and very promising results are achieved.
  • Keywords
    character recognition; document image processing; image classification; image matching; laser printers; security; transforms; character image matching; database; distance transform; document image observation; image acquisition; image preprocessing; laser printers; minimum distance classifier; normalized printed character recognition; optical instrument; printed document examination; printer identification system; public security; Character recognition; Electronic mail; Feature extraction; Frequency estimation; Image databases; Instruments; Intelligent networks; Intelligent systems; Optical character recognition software; Printers; distance transform; printed character; printed document examination;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3391-9
  • Electronic_ISBN
    978-0-7695-3391-9
  • Type

    conf

  • DOI
    10.1109/ICINIS.2008.158
  • Filename
    4683289