PAPVISION - Paper and Board Printability Testing Using Machine Vision

"Machine Vision Solutions for Paper and Printing Industry"


The ultimate objective of the Papvision project was to provide novel innovative machine vision and pattern recognition solutions for paper and printing industry. The focus was on novel automatic paper printability assessments based on machine vision.

The secondary objective was to serve the national paper and printing industry as a research organization for machine vision and pattern recognition. Our mission is "listen to industrial partners - study solutions to their problems - and provide necessary knowledge to implement the solutions". The scientific objective was to perform scientific research, publish new results, and educate young masters and doctors specialized in scientific computation, especially machine vision and pattern recognition, in paper and printing industry.

Industrial partners:Research co-operation
  1. Tekes
  2. Stora Enso Oyj
  3. UPM-Kymmene Oyj
  4. Myllykoski Paper Oy
  5. Metso Paper Oy
  6. (Future Printing Center )
  7. Labvision Technologies
EU flag
This project is funded by the European Union (#70049/03,#70056/04) and Academy of Finland (#204708)
  1. Color Research Laboratory, University of Joensuu
  2. Laboratory of Media Technology, Helsinki University of Technology


    Detection of Missing Dots from Printed Patterns
  2. PICKING -
    Detection of Paper Surface Defects
    Measuring unevenness of solid printed areas
  4. PAPPROTO1 -
    Measurement system for paper printability assessments
  5. GLOSS -
    Accurate Paper Gloss Measurements (restricted access)
    Multi-Resolution Approach to Paper Printability Evaluation (restricted access)
  7. PAPPROTO2 -
    "Revolutionary" measurement system for paper printability assessments (restricted access)
    Spectral Characterization of Paper and Print (restricted access)
    On Visual Thresholds and Psychometric Scaling of Print Details (restricted access)


The project is officially and successfully ended. The scientific results will be finished during the year 2007, when the results will be published in scientific media and PhD theses. Withing the project several working prototypes (both hardware and software) were implemented and now the technology and knowhow is being transferred to product development (first products have already been sold!).

Contact information

Lappeenranta University of Technology
Heikki Kšlvišinen E-mail WWW Director, professor
Lasse Lensu E-mail WWW Project manager, post-doc researcher
Joni Kämäräinen E-mail WWW Post-doc researcher
Pasi Saarinen E-mail WWW Industry coordinator
Former project workers:
Petja Salmela E-mail WWW MSc, industry.
Alexander Drobchenko E-mail WWW MSc, academic research
Sami Lyden E-mail WWW MSc, industry
Tuomas Eerola E-mail WWW MSc, academic research
Tomi Kauppi E-mail WWW MSc, academic research
Pekka Paalanen E-mail WWW MSc, academic research
Jarkko Vartiainen E-mail WWW PhD, industry
Albert Sadovnikov E-mail WWW Finalising doctoral dissertation
Fahad Rizvi E-mail WWW MSc, industry


Source code

  1. Not publicly available

Data sets

  1. Not publicly available

Links to other resources

Industrial assessment and measurement system providers
AmbertecMV analyzers
IGT Testing SystemsTest printing devices
Mitaten Finland Oy
X-RiteColor measurement
Research laboratories on machine vision in printing industry
Printing Industry Center, Rochester Institute of Technology, USAHigh quality research
School of Information Science, Halmstad University, Sweden.
Center for ink and printability: Printability reseach and testing, Michigan University, USA.
Visual Quality and Visual Science research groups, Department of Psychology, Helsinki University, Finland.
Microdensitometry Lab, Rochester Institute of Technology, USA.
Center for Creative Media Technology, Linköping University, Sweden.
Machine Vision Group, University of Oulu, Oulu.Texture based methods
Information sources
Bookstore for surface inspecion oriented books
Important annual meetings and conferences
VISION annual machine vision exhibition
SPCI week for paper exhibition and conferences
Machine vision hardware providers
Sony Manufacturing Systems Corporation (Desk-top robots, video microscopes, etc.)
Infradex (IR-cameras)
Metric Industrial (cameras and light sources)
Orbis (cameras)
Perel (LED lights)
Cheos (all MV equips, stripe lasers)
Parameter (all MV equips, sripe lasers)
Witte (Suction tables and other attaching devices)
Videometer (laboratory and industrial spectral measurement devices)


Do not hesitate to to contact the authors by e-mail to retrieve copies or reprints of the following publications.

In other organisations the following publications have been made:
  1. Kaukonen, Milla, Visual thresholds and psychometric scaling of missing dots and mottling in print, MSc (Diploma) thesis, Helsinki University of Technology, 2006.