22 March 2013 Photocopier forensics based on arbitrary text characters
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Abstract
A photocopied document can expose the photocopier characteristics to identify the source photocopier, so how to extract the optimal intrinsic features is critical for photocopier forensics. In this paper, a photocopier forensics method based on the texture features analysis for arbitrary characters is proposed and the features are considered as the intrinsic features. Firstly, an image preprocessing process is practiced to get individual character images. Secondly, three sets of features are extracted from each individual character image, including the gray level features, the gradient differential matrix (GDM) features and the gray level gradient co-occurrence matrix (GLGCM) features. Last, each individual character in a document is classified using a Fisher classifier and a majority vote is performed on the character classification results to identify the source photocopier. Experimental results on seven photocopiers prove the effectiveness of our proposed method and an average character classification accuracy of 88.47% can be achieved.
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Changyou Wang, Xiangwei Kong, Shize Shang, Xin'gang You, "Photocopier forensics based on arbitrary text characters", Proc. SPIE 8665, Media Watermarking, Security, and Forensics 2013, 86650G (22 March 2013); doi: 10.1117/12.2005524; https://doi.org/10.1117/12.2005524
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