Font clustering and cluster identification in document images

Authors
Ozturk, S Sankur, B Abak, AT
Citation
S. Ozturk et al., Font clustering and cluster identification in document images, J ELECTR IM, 10(2), 2001, pp. 418-430
Citations number
15
Categorie Soggetti
Optics & Acoustics
Journal title
JOURNAL OF ELECTRONIC IMAGING
ISSN journal
10179909 → ACNP
Volume
10
Issue
2
Year of publication
2001
Pages
418 - 430
Database
ISI
SICI code
1017-9909(200104)10:2<418:FCACII>2.0.ZU;2-D
Abstract
In this work clustering and recognition problem of fonts in document images is addressed. Various font features and their clustering behavior are inve stigated. Font clustering is implemented both from shape similarity or from OCR performance points of view. A font recognition algorithm is developed that can identify the font group or the individual font from which a text w as created. (C) 2001 SPIE and IS&T.