Soft Computing for Assessing the Quality of Colour Prints

  • Antanas Verikas
  • Marija Bacauskiene
  • Carl-Magnus Nilsson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4031)


We present a soft computing techniques based option for assessing the quality of colour prints. The values of several print distortion attributes are evaluated by employing data clustering, support vector regression, and image analysis procedures and then aggregated into an overall print quality measure using fuzzy integration. The experimental investigations performed have shown that the print quality evaluations provided by the measure correlate well with the print quality rankings obtained from the experts. The developed tools are successfully used in a printing shop for routine print quality control.


Support Vector Regression Printing Process Fuzzy Measure Colour Patch Halftone Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Antanas Verikas
    • 1
    • 2
  • Marija Bacauskiene
    • 2
  • Carl-Magnus Nilsson
    • 1
  1. 1.Intelligent Systems LaboratoryHalmstad UniversityHalmstadSweden
  2. 2.Department of Applied ElectronicsKaunas University of TechnologyKaunasLithuania

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