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A Font Search Engine for Large Font Databases
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.ORCID iD: 0000-0001-7557-4904
2011 (English)In: ELCVIA Electronic Letters on Computer Vision and Image Analysis, ISSN 1577-5097, E-ISSN 1577-5097, Vol. 10, no 1, 24-41 p.Article in journal (Refereed) Published
Abstract [en]

A search engine for font recognition is presented and evaluated. The intended usage is the search in very large font databases. The input to the search engine is an image of a text line, and the output is the name of the font used when rendering the text. After pre-processing and segmentation of the input image, a local approach is used, where features are calculated for individual characters. The method is based on eigenimages calculated from edge filtered character images, which enables compact feature vectors that can be computed rapidly. In this study the database contains 2763 different fonts for the English alphabet. To resemble a real life situation, the proposed method is evaluated with printed and scanned text lines and character images. Our evaluation shows that for 99 % of the queries, the correct font name can be found within the five best matches.

Place, publisher, year, edition, pages
2011. Vol. 10, no 1, 24-41 p.
Keyword [en]
Font Recognition, Font Retrieval, Eigenimages, Vision Application
National Category
Media and Communication Technology
Identifiers
URN: urn:nbn:se:liu:diva-72245OAI: oai:DiVA.org:liu-72245DiVA: diva2:458788
Available from: 2011-11-23 Created: 2011-11-23 Last updated: 2017-12-08

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Solli, MartinLenz, Reiner

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