Color Laser Printer Identification through Discrete Wavelet Transform and Gray Level Go-occurrence Matrix


KIPS Transactions on Software and Data Engineering, Vol. 17, No. 3, pp. 197-206, Mar. 2010
10.3745/KIPSTB.2010.17.3.197, Full Text:

Abstract

High-quality and low-price digital printing devices are nowadays abused to print or forge official documents and bills. Identifying color laser printers will be a step for media forensics. This paper presents a new method to identify color laser printers with printed color images. Since different printer companies use different manufactural systems, printed documents from different printers have little difference in visual. Analyzing this artifact, we can identify the color laser printers. First, high-frequency components of images are extracted from original images with discrete wavelet transform. After calculating the gray-level co-occurrence matrix of the components, we extract some statistical features. Then, these features are applied to train and classify the support vector machine for identifying the color laser printer. In the experiment, total 2,597 images of 7 printers (HP, Canon, Xerox DCC400, Xerox DCC450, Xerox DCC5560, Xerox DCC6540, Konica), are tested to classify the color laser printer. The results prove that the presented identification method performs well with 96.9% accuracy.


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Cite this article
[IEEE Style]
J. Y. Baek, H. S. Lee, S. G. Kong, J. H. Choi, Y. M. Yang and H. Y. Lee, "Color Laser Printer Identification through Discrete Wavelet Transform and Gray Level Go-occurrence Matrix," KIPS Journal B (2001 ~ 2012) , vol. 17, no. 3, pp. 197-206, 2010. DOI: 10.3745/KIPSTB.2010.17.3.197.

[ACM Style]
Ji Yeoun Baek, Heung Su Lee, Seung Gyu Kong, Jung Ho Choi, Yeon Mo Yang, and Hae Yeoun Lee. 2010. Color Laser Printer Identification through Discrete Wavelet Transform and Gray Level Go-occurrence Matrix. KIPS Journal B (2001 ~ 2012) , 17, 3, (2010), 197-206. DOI: 10.3745/KIPSTB.2010.17.3.197.