Paper Info
Title
Font clustering and cluster identification in document images
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. (C) 2001 SPIE and IS&T.
Year
DOI
Venue
2001
10.1117/1.1351820
JOURNAL OF ELECTRONIC IMAGING
Keywords
Field
DocType
raster graphics,algorithms,optical character recognition
Font recognition,Computer vision,Raster graphics,Pattern recognition,Computer science,Font,Optical character recognition,Artificial intelligence,Cluster analysis
Journal
Volume
Issue
ISSN
10
2
1017-9909
Citations 
PageRank 
References 
3
0.42
11
Authors
3
Name
Order
Citations
PageRank
Serdar Öztürk130.42
Bülent Sankur2133681.43
A. Toygar Abak330.42