Detecting documents forged by printing and copying

Shize Shang, Nasir Memon, Xiangwei Kong

    Research output: Contribution to journalArticle

    Abstract

    This paper describes a method to distinguish documents produced by laser printers, inkjet printers, and electrostatic copiers, three commonly used document creation devices. The proposed approach can distinguish between documents produced by these sources based on features extracted from the characters in the documents. Hence, it can also be used to detect tampered documents produced by a mixture of these sources. We analyze the characteristics associated with laser/inkjet printers and electrostatic copiers and determine the signatures created by the different physical and technical processes involved in each type of printing. Based on the analysis of these signatures, we computed the features of noise energy, contour roughness, and average gradient. To the best of our knowledge, this is the first work to distinguish documents produced by laser printer, inkjet printer, and copier based on features extracted from individual characters in the documents. Experimental results show that this method has an average accuracy of 90% and works with JPEG compression.

    Original languageEnglish (US)
    Pages (from-to)1-13
    Number of pages13
    JournalEurasip Journal on Advances in Signal Processing
    Volume2014
    Issue number1
    DOIs
    StatePublished - Sep 8 2014

    Fingerprint

    Copying
    Printing
    Lasers
    Electrostatics
    Surface roughness

    Keywords

    • Average gradient
    • Contour roughness
    • Device type identification
    • Noise energy
    • Tampering detection

    ASJC Scopus subject areas

    • Hardware and Architecture
    • Signal Processing
    • Electrical and Electronic Engineering

    Cite this

    Detecting documents forged by printing and copying. / Shang, Shize; Memon, Nasir; Kong, Xiangwei.

    In: Eurasip Journal on Advances in Signal Processing, Vol. 2014, No. 1, 08.09.2014, p. 1-13.

    Research output: Contribution to journalArticle

    Shang, Shize ; Memon, Nasir ; Kong, Xiangwei. / Detecting documents forged by printing and copying. In: Eurasip Journal on Advances in Signal Processing. 2014 ; Vol. 2014, No. 1. pp. 1-13.
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