Font recognition based on global texture analysis
Yong Zhu
Tieniu Tan
Yunhong Wang
Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Oct 2001
Volume: 23,
Issue: 10
On page(s): 1192-1200
ISSN: 0162-8828
References Cited: 17
CODEN: ITPIDJ
INSPEC Accession Number: 7078251
Digital Object Identifier: 10.1109/34.954608
Current Version Published: 2002-08-07
Abstract
We describe a novel texture analysis-based approach toward font
recognition. Existing methods are typically based on local typographical
features that often require connected components analysis. In our
method, we take the document as an image containing some specific
textures and regard font recognition as texture identification. The
method is content-independent and involves no detailed local feature
analysis. Experiments are carried out by using 14000 samples of 24
frequently used Chinese fonts (six typefaces combined with four styles),
as well as 32 frequently used English fonts (eight typefaces combined
with four styles). An average recognition rate of 99.1 percent is
achieved. Experimental results are also included on the robustness of
the method against image degradation (e.g., pepper and salt noise) and
on the comparison with existing methods
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