Publications:Advances in computational intelligence-based print quality assessment and control in offset colour printing

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Title Advances in computational intelligence-based print quality assessment and control in offset colour printing
Author Antanas Verikas and Jens Lundström and Marija Bacauskiene and Adas Gelzinis
Year 2011
PublicationType Journal Paper
Journal Expert systems with applications
HostPublication
Conference
DOI http://dx.doi.org/10.1016/j.eswa.2011.04.035
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:421853
Abstract Nowadays most of information processing steps in printing industry are highly automated, except the last one – print quality assessment and control. Usually quality assessment is a manual, tedious, and subjective procedure. This article presents a survey of non numerous developments in the field of computational intelligence-based print quality assessment and control in offset colour printing. Recent achievements in this area and advances in applied computational intelligence, expert and decision support systems lay good foundations for creating practical tools to automate the last step of the printing process.