---
res:
  bibo_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@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Christoph
      foaf_name: Lampert, Christoph
      foaf_surname: Lampert
      foaf_workInfoHomepage: http://www.librecat.org/personId=40C20FD2-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0001-8622-7887
  - foaf_Person:
      foaf_givenName: Lin
      foaf_name: Mei, Lin
      foaf_surname: Mei
  - foaf_Person:
      foaf_givenName: Thomas
      foaf_name: Breuel, Thomas
      foaf_surname: Breuel
  bibo_doi: 10.1109/ICCIAS.2006.294214
  bibo_volume: 1
  dct_date: 2006^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/1424406048
  dct_language: eng
  dct_publisher: IEEE@
  dct_title: Printing technique classification for document counterfeit detection@
...