Document Authentication Using Printing Technique Features and Unsupervised Anomaly Detection

@article{Gebhardt2013DocumentAU,
  title={Document Authentication Using Printing Technique Features and Unsupervised Anomaly Detection},
  author={Johann Gebhardt and Markus Goldstein and Faisal Shafait and Andreas Dengel},
  journal={2013 12th International Conference on Document Analysis and Recognition},
  year={2013},
  pages={479-483}
}
Automatically identifying that a certain page in a set of documents is printed with a different printer than the rest of the documents can give an important clue for a possible forgery attempt. Different printers vary in their produced printing quality, which is especially noticeable at the edges of printed characters. In this paper, a system using the difference in edge roughness to distinguish laser printed ages from inkjet printed pages is presented. Several feature extraction methods have… CONTINUE READING
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