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FyFont: Find-your-Font in Large Font Databases
Linköping University, The Institute of Technology. Linköping University, Department of Science and Technology, Digital Media.
Linköping University, The Institute of Technology. Linköping University, Department of Science and Technology, Digital Media.ORCID iD: 0000-0001-7557-4904
2007 (English)In: Scandinavian Conference on Image Analysis, SCIA 2007 / [ed] Bjarne Kjær Ersbøll, Kim Steenstrup Pedersen, Berlin: Springer , 2007, , 432-441 p.432-441 p.Conference paper, Published paper (Refereed)
Abstract [en]

A search engine for font recognition in very large font data-bases is presented and evaluated. The search engine analyzes an image of a text line, and responds with the name of the font used when writing the text. After segmenting the input image into single characters, the recognition is mainly based on eigenimages calculated from edge filtered character images. We evaluate the system with printed and scanned text lines and character images. The database used contains 2763 different fonts from the English alphabet. Our evaluation shows that for 99.8 % of the queries, the correct font name is one of the five best matches. Apart from finding fonts in large databases, the search engine can also be used as a pre-processor for Optical Character Recognition.

Place, publisher, year, edition, pages
Berlin: Springer , 2007. , 432-441 p.432-441 p.
Series
Lecture Notes in Computer Science, ISSN 1611-3349
National Category
Engineering and Technology Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-38220DOI: 10.1007/978-3-540-73040-8_44Local ID: 42945ISBN: 978-3-540-73039-2 (print)OAI: oai:DiVA.org:liu-38220DiVA: diva2:259069
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2016-08-31

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Solli, MartinLenz, Reiner

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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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