Publications:Neural networks based colour measuring for process monitoring and control in multicoloured newspaper printing

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Title Neural networks based colour measuring for process monitoring and control in multicoloured newspaper printing
Author Antanas Verikas and Kerstin Malmqvist and L. Bergman
Year 2000
PublicationType Journal Paper
Journal Neural computing & applications (Print)
HostPublication
Conference
DOI http://dx.doi.org/10.1007/s005210070016
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:285831
Abstract This paper presents a neural networks based method and a system for colour measurements on printed halftone multicoloured pictures and halftone multicoloured bars in newspapers. The measured values, called a colour vector, are used by the operator controlling the printing process to make appropriate ink feed adjustments to compensate for colour deviations of the picture being measured from the desired print. By the colour vector concept, we mean the CMY or CMYK (cyan, magenta, yellow and black) vector, which lives in the three- or four-dimensional space of printing inks. Two factors contribute to values of the vector components, namely the percentage of the area covered by cyan, magenta, yellow and black inks (tonal values) and ink densities. Values of the colour vector components increase if tonal values or ink densities rise, and vice versa. If some reference values of the colour vector components are set from a desired print, then after an appropriate calibration, the colour vector measured on an actual halftone multicoloured area directly shows how much the operator needs to raise or lower the cyan, magenta, yellow and black ink densities to compensate for colour deviation from the desired print. The 18 months experience of the use of the system in the printing shop witnesses its usefulness through the improved quality of multicoloured pictures, the reduced consumption of inks and, therefore, less severe problems of smearing and printing through.