@inproceedings{3680,
  abstract     = {The detection of counterfeit in printed documents is currently based mainly on built-in security features or on human expertise. We propose a classification system that supports non-expert users to distinguish original documents from PC-made forgeries by analyzing the printing technique used. Each letter in a document is classified using a support vector machine that has been trained to distinguish laser from inkjet printouts. A color-coded visualization helps the user to interpret the per-letter classification results},
  author       = {Lampert, Christoph and Mei, Lin and Breuel, Thomas},
  booktitle    = {2006 International Conference on Computational Intelligence and Security},
  isbn         = {1424406048},
  location     = {Guangzhou, China},
  pages        = {639 -- 634},
  publisher    = {IEEE},
  title        = {{Printing technique classification for document counterfeit detection}},
  doi          = {10.1109/ICCIAS.2006.294214},
  volume       = {1},
  year         = {2006},
}