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Journal of Electronic Imaging

Document forgery detection using distortion mutation of geometric parameters in characters
Author(s): Shize Shang; Xiangwei Kong; Xingang You
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Paper 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.

Paper Details

Date Published: 10 March 2015
PDF: 10 pages
J. Electron. Imag. 24(2) 023008 doi: 10.1117/1.JEI.24.2.023008
Published in: Journal of Electronic Imaging Volume 24, Issue 2
Show Author Affiliations
Shize Shang, Dalian Univ. of Technology (China)
Xiangwei Kong, Dalian Univ. of Technology (China)
Xingang You, Dalian Univ. of Technology (China)
Beijing Institute of Electronic Technology and Application (China)

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