---
res:
  bibo_abstract:
  - Automatic sheet inspection in banknote production has been used as a standard
    quality control tool for more than a decade. As more and more print techniques
    and new security features are established, total quality in bank note printing
    must be guaranteed. This aspect has a direct impact on the research and development
    for bank note inspection systems in general in the sense of technological sustainability.
    It is accepted, that print defects are generated not only by printing parameter
    changes, but also by mechanical machine parameter changes, which will change unnoticed
    in production. Therefore, a new concept for a multi-sensory adaptive learning
    and classification model based on Fuzzy-Pattern- Classifiers for data inspection
    and machine conditioning is proposed. A general aim is to improve the known inspection
    techniques and propose an inspection methodology that can ensure a comprehensive
    quality control of the printed substrates processed by printing presses, especially
    printing presses which are designed to process substrates used in the course of
    the production of banknotes, security documents and others. Therefore, the research
    and development work in this area necessitates a change in concept for banknote
    inspection in general. In this paper a new generation of FPGA (Field Programmable
    Gate Array) based real time inspection technology is presented, which allows not
    only colour inspection on banknote sheets, but has also the implementation flexibility
    for various inspection algorithms for security features, such as window threads,
    embedded threads, OVDs, watermarks, screen printing etc., and multi-sensory data
    processing. A variety of algorithms is described in the paper, which are designed
    for and implemented on FPGAs. The focus is based on algorithmic approaches@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Volker
      foaf_name: Lohweg, Volker
      foaf_surname: Lohweg
      foaf_workInfoHomepage: http://www.librecat.org/personId=1804
    orcid: 0000-0002-3325-7887
  - foaf_Person:
      foaf_givenName: Rui
      foaf_name: Li, Rui
      foaf_surname: Li
      foaf_workInfoHomepage: http://www.librecat.org/personId=2000
  - foaf_Person:
      foaf_givenName: Thomas
      foaf_name: Türke, Thomas
      foaf_surname: Türke
  - foaf_Person:
      foaf_givenName: Harald
      foaf_name: Willeke, Harald
      foaf_surname: Willeke
  - foaf_Person:
      foaf_givenName: Johannes
      foaf_name: Schaede, Johannes
      foaf_surname: Schaede
      foaf_workInfoHomepage: http://www.librecat.org/personId=2128
  bibo_doi: https://doi.org/10.1117/12.805427
  dct_date: 2009^xs_gYear
  dct_language: eng
  dct_title: FPGA-based Multi-sensor Real Time Machine Vision for Banknote Printing@
...