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Color Laser Printer Forensics through Wiener Filter and Gray Level Co-occurrence Matrix  

Lee, Hae-Yeoun (금오공과대학교 컴퓨터공학부)
Baek, Ji-Yeoun (금오공과대학교 컴퓨터공학부)
Kong, Seung-Gyu (금오공과대학교 컴퓨터공학부)
Lee, Heung-Su (금오공과대학교 컴퓨터공학부)
Choi, Jung-Ho (KAIST 전산학과)
Publication Information
Journal of KIISE:Software and Applications / v.37, no.8, 2010 , pp. 599-610 More about this Journal
Abstract
Color laser printers 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 their own printing process, each of printed papers from different printers has a little different invisible noise. After the wiener-filter is used to analyze the invisible noises from each printer, we extract some features from these noises by calculating a gray level co-occurrence matrix. Then, these features are applied to train and classify the support vector machine for identifying the color laser printer. In the experiment, we use total 2,597 images from 7 color laser printers. The results prove that the presented identification method performs well using the noise features of color printed images.
Keywords
Digital Forensics; Wiener Filter; Gray Level Co-occurrence Matrix; Support Vector Machine Classifier;
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