Detecting documents forged by printing and copying

Author:

Shang Shize,Memon Nasir,Kong Xiangwei

Abstract

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.

Publisher

Springer Science and Business Media LLC

Reference24 articles.

1. Sencar HT, Memon N: Digital Image Forensics: There Is More to a Picture than Meets the Eye. Springer, New York; 2013.

2. Mikkilineni AK, Khanna N, Delp EJ: Forensic printer detection using intrinsic signatures. In Proceedings of SPIE-IS and T Electronic Imaging - Media Watermarking, Security, and Forensics III. San Francisco, CA, USA; 24–26 Jan 2011:78800-11.

3. Mikkilineni AK, Chiang PJ, Ali G, Chiu GTC, Allebach P, Delp EJ: Printer identification based on graylevel co-occurrence feature for security and forensics application. In Proceedings of the SPIE - The International Society for Optical Engineering. San Jose, CA, USA; 21 Mar 2005:430-440.

4. Mikkilineni AK, Khanna N, Delp EJ: Texture based attacks on intrinsic signature based printer identification. In Proceedings of the SPIE - The International Society for Optical Engineering. San Jose, CA, USA; 18–20 Jan 2010:75410-12.

5. Chiang PJ, Khanna N, Mikkilineni AK, Segovia MVO, Suh S, Allebach JP, Chiu GTC, Delp JE: Printer and scanner forensics. IEEE Signal Process. Mag 2009, 26: 72-83.

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