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Visualization of large font databases
Linköping University, Department of Science and Technology, Digital Media. Linköping University, The Institute of Technology.
Linköping University, Department of Science and Technology, Digital Media. Linköping University, The Institute of Technology.ORCID iD: 0000-0001-7557-4904
2009 (English)In: Advances in Printing and Media Technology Vol. XXXVI: Proceedings of the 36th International Research Conference of iarigai / [ed] Nils Enlund, Mladen Lovrecek, Darmstadt, Germany: iarigai , 2009, 67-74 p.Conference paper, Published paper (Refereed)
Abstract [en]

We describe a novel system for interaction with large font databases. The system is an efficient tool for browsing in large font databases and as such it can be used by people in the Graphic Arts industry. The proposed approach is based on shape descriptors developed for visual characterization of character images rendered from different fonts. Here the descriptors are used in a visualization of a large font database containing more than 2700 fonts. By applying geometry preserving linear- and non-linear manifold learning methods, in combination with a refinement process, character images of different fonts are organized on a two-dimensional grid, where fonts are positioned based on visual similarity.

Place, publisher, year, edition, pages
Darmstadt, Germany: iarigai , 2009. 67-74 p.
Keyword [en]
font selection, visualization, dimensionality reduction, image analysis
National Category
Engineering and Technology Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-54629ISBN: 978-3-9812704-1-0 (print)OAI: oai:DiVA.org:liu-54629DiVA: diva2:306041
Available from: 2010-03-26 Created: 2010-03-26 Last updated: 2016-08-31

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Solli, MartinLenz, Reiner

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf