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Document forgery detection using distortion mutation of geometric parameters in characters

[+] Author Affiliations
Shize Shang, Xiangwei Kong

Dalian University of Technology, School of Information and Communication Engineering, No. 2 Linggong Road, Ganjingzi District, Dalian 116024, China

Xingang You

Dalian University of Technology, School of Information and Communication Engineering, No. 2 Linggong Road, Ganjingzi District, Dalian 116024, China

Beijing Institute of Electronic Technology and Application, No. 15 Xinjiangongmen Road, Haidian District, Beijing 100091, China

J. Electron. Imaging. 24(2), 023008 (Mar 10, 2015). doi:10.1117/1.JEI.24.2.023008
History: Received October 4, 2014; Accepted January 27, 2015
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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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Topics

Distortion

Citation

Shize Shang ; Xiangwei Kong and Xingang You
"Document forgery detection using distortion mutation of geometric parameters in characters", J. Electron. Imaging. 24(2), 023008 (Mar 10, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.2.023008


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