DocumentCode :
3485912
Title :
Part-Based Recognition of Arbitrary Fonts
Author :
Song Wang ; Uchida, Seiichi ; Liwicki, Marcus
Author_Institution :
Kyushu Univ., Fukuoka, Japan
fYear :
2013
fDate :
25-28 Aug. 2013
Firstpage :
170
Lastpage :
174
Abstract :
In this paper, the part-based recognition method is introduced and applied to the arbitrary font recognition. The principle of the part-based method is to represent the character image as a set of parts and then recognize the image by finding the most possible parts set from the reference database. Since the part-based method does not rely on the global structure of a character, it is supposed to be robust against the variant appearances of the character. The experiment results indicate that it is possible to apply the part-based method to the font recognition, which is always considered as a difficult task by most of the researchers.
Keywords :
character recognition; image representation; arbitrary font recognition; character image representation; character variant appearance; part-based recognition method; reference database; Character recognition; Feature extraction; Image recognition; Optical character recognition software; Robustness; Training; Visualization; font recognition; local features; part-based recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2013 12th International Conference on
Conference_Location :
Washington, DC
ISSN :
1520-5363
Type :
conf
DOI :
10.1109/ICDAR.2013.41
Filename :
6628606
Link To Document :
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