Document forgery detection using distortion mutation of geometric parameters in characters

Shize Shang; Xiangwei Kong; Xingang You

doi:10.1117/1.JEI.24.2.023008

10 March 2015 Document forgery detection using distortion mutation of geometric parameters in characters

Shize Shang, Xiangwei Kong, Xingang You

Author Affiliations +

Journal of Electronic Imaging, Vol. 24, Issue 2, 023008 (March 2015). https://doi.org/10.1117/1.JEI.24.2.023008

Abstract

Tampering related to document forgeries is often accomplished by copy-pasting or add-printing. These tampering methods introduce character distortion mutation in documents. We present a method of exposing document forgeries using distortion mutation of geometric parameters. We estimate distortion parameters, which consist of translation and rotation distortions, through image matching for each character. Detection of tampered characters with distortion mutation occurs based on a distortion probability, which is calculated from character distortion parameters. The introduction of a visualized probability map describes the degree of distortion mutation for a full page. The proposed method exposes the forgeries based on individual characters and applies to English and Chinese document examinations. Experimental results demonstrate the effectiveness of our method on low JPEG compression quality and low resolution.

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Shize Shang, Xiangwei Kong, and Xingang You "Document forgery detection using distortion mutation of geometric parameters in characters," Journal of Electronic Imaging 24(2), 023008 (10 March 2015). https://doi.org/10.1117/1.JEI.24.2.023008

Published: 10 March 2015

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