@inproceedings{2068,
  abstract     = {{The production of printing goods is laborious. Furthermore, the print quality, especially in banknotes, must be assured. It is accepted, that print defects are generated because printing parameters, also machine parameters can change unnoticed. Therefore, a combined concept for a multi-sensory learning and classification model based on new adaptive fuzzy-pattern-classifiers for data inspection is proposed. This inspection concept, which combines optical, acoustical and other machine information, comes up with a large amount of data, which leads to multivariate methods for data analysis. Multivariate methods are useful for analysis of large and complex data sets that consist of many variables measured on large numbers of physical data.}},
  author       = {{Dyck, Walter and Türke, Thomas and Schaede, Johannes and Lohweg, Volker}},
  isbn         = {{978-1-4244-1565-6}},
  issn         = {{1551-2541 }},
  keywords     = {{Sensor fusion, Inspection, Optical sensors, Printing machinery, Data security, Data analysis, Production, Degradation, Principal component analysis, Karhunen-Loeve transforms}},
  pages        = {{accepted for publication}},
  publisher    = {{MLSP 2007 - International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING}},
  title        = {{{A Fuzzy-Pattern-Classifier-Based Adaptive Learning Model for Sensor Fusion}}},
  doi          = {{10.1109/MLSP.2007.4414320}},
  year         = {{2007}},
}

@inproceedings{2062,
  abstract     = {{Bank note inspection is a complex task. As more and more print techniques and new security features are established, total quality security and bank note printing must be assured. Therefore, this factor necessitates change of a sensorial concept in general. We propose an optical-acoustical inspection method based upon the concepts of information fusion and fuzzy interpretation of data measures. Furthermore, we present a simplified scheme for information fusion for pattern recognition and data classification based on parametrical unimodal potential functions and a Sugeno-type score value analysis. Digital Object Identifier: 10.1109/ICIF.2006.301779 <br />}},
  author       = {{Dyck, Walter and Schaede, Johannes and Türke, Thomas and Lohweg, Volker}},
  booktitle    = {{ 2006 9th International Conference on Information Fusion}},
  isbn         = {{ 1-4244-0953-5}},
  keywords     = {{Information security, Inspection, Printing machinery, Optical sensors, Data security, Personnel, Fuzzy systems, Sensor systems, Expert systems, Ink}},
  pages        = {{1--8}},
  publisher    = {{9th International Conference on Information Fusion, 2006. ICIF '06}},
  title        = {{{Information Fusion Application On Security Printing With Parametrical Fuzzy Classification}}},
  doi          = {{10.1109/ICIF.2006.301779}},
  year         = {{2006}},
}