Paper
22 March 2013 Photocopier forensics based on arbitrary text characters
Changyou Wang, Xiangwei Kong, Shize Shang, Xin'gang You
Author Affiliations +
Proceedings Volume 8665, Media Watermarking, Security, and Forensics 2013; 86650G (2013) https://doi.org/10.1117/12.2005524
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Changyou Wang, Xiangwei Kong, Shize Shang, and Xin'gang You "Photocopier forensics based on arbitrary text characters", Proc. SPIE 8665, Media Watermarking, Security, and Forensics 2013, 86650G (22 March 2013); https://doi.org/10.1117/12.2005524
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Forensic science

Image processing

Feature extraction

Digital photography

Printing

Image segmentation

Binary data

Back to Top