Colour characterization for scanners : validations on textiles & paints

A. Khandual, George Baciu, Jinlian Hu, D. Zheng

Research output: Journal article publicationJournal articleAcademic researchpeer-review


Previously, we have studied the characterisation of different scanners by look up table, neural networks and polynomial regression models exclusively for various ASTM illuminant and observer along with color coordinates and DPIs. RGBL*a*b* color coordinates shows better results for both polynomial and neural network. . Polynomial regression method found to be more suitable and robust. T heir validation results for textiles and paint substrates based on polynomial regression and neural network were investigated and discussed here.
Original languageEnglish
Pages (from-to)1008-1013
Number of pages6
JournalInternational journal of advanced research in computer science and software engineering
Issue number10
Publication statusPublished - 2013


  • Tristimulus values
  • Color matching function
  • Color characterization
  • Polynomial regression
  • CIE illuminant and observer
  • Back propagation
  • Neural network


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