Color laser printer forensics with noise texture analysis

Abstract

Color laser printers are nowadays abused to print or forge official documents and bills. Identifying the printing source used to print documents will be a step for digital media forensics. This paper presents a color laser printer identification method to detect what kind of color laser printers is used to print the unknown images. Since each printer vender uses their own printing process, printed documents from different venders have a little invisible difference looks like noise. In our identification scheme, the invisible noises are estimated with the wiener-filter and then a gray level co-ccurrence matrix (GLCM) is calculated to analyze the texture of the noise. From the GLCM, 60 statistical features are extracted and applied to train and test the support vector machine classifier for identifying the color laser printers. In the experiment, we use total 2,597 images from 7 color laser printers. The results prove that the presented identification method performs well analyzing the noise texture of color printed images.