1 April 2001 Font clustering and cluster identification in document images
Author Affiliations +
J. of Electronic Imaging, 10(2), (2001). doi:10.1117/1.1351820
Abstract
In this work clustering and recognition problem of fonts in document images is addressed. Various font features and their clustering behavior are investigated. 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 was created.
Serdar Ozturk, Bulent Sankur, Ali Toygar Abak, "Font clustering and cluster identification in document images," Journal of Electronic Imaging 10(2), (1 April 2001). http://dx.doi.org/10.1117/1.1351820
JOURNAL ARTICLE
13 PAGES


SHARE
KEYWORDS
Optical character recognition

Raster graphics

Detection and tracking algorithms

Algorithm development

Feature extraction

Binary data

Image segmentation

RELATED CONTENT

Color segmentation in the HSI color space using the K...
Proceedings of SPIE (April 04 1997)
Error image in error diffusion
Proceedings of SPIE (May 19 1992)
LG Strategist: your personal chief of staff
Proceedings of SPIE (September 19 2001)
A group tracking algorithm for ground vehicle convoys
Proceedings of SPIE (March 28 2005)

Back to Top