Semiautomatic identification of print layers from a sequence of sample images: a case study from banknote print inspection

  • Daniel Soukup
  • , Ulrich Bodenhofer
  • , Markus Mittendorfer-Holzer
  • , Konrad Mayer

Research output: Working paper and reportsResearch report

Abstract

This article presents an approach for finding displacements of print layers from sequences of sample images semi-automatically with the aim to simplify and shorten the setup of inspection systems for printing processes in which the perfect alignment of print layers cannot be guaranteed. The basic idea behind the proposed approach is to identify regions for which it can be observed that they tend to move into the same direction. This idea is motivated and justified in detail. The algorithm is presented in depth along with examples and interpretations. The test cases considered in this study are data from banknote print inspection.
Original languageEnglish
Number of pages28
Publication statusPublished - 2008

Fields of science

  • 101004 Biomathematics
  • 101027 Dynamical systems
  • 101028 Mathematical modelling
  • 101029 Mathematical statistics
  • 101014 Numerical mathematics
  • 101015 Operations research
  • 101016 Optimisation
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  • 101018 Statistics
  • 101019 Stochastics
  • 101024 Probability theory
  • 101026 Time series analysis
  • 102 Computer Sciences
  • 102001 Artificial intelligence
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  • 102013 Human-computer interaction
  • 102018 Artificial neural networks
  • 102019 Machine learning
  • 103029 Statistical physics
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  • 202017 Embedded systems
  • 202035 Robotics
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  • 305901 Computer-aided diagnosis and therapy
  • 305905 Medical informatics
  • 305907 Medical statistics
  • 102032 Computational intelligence
  • 102033 Data mining
  • 101031 Approximation theory

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