Part-based recognition of arbitrary fonts

Song Wang, Seiichi Uchida, Marcus Liwicki

Research output: Contribution to journalConference article

2 Citations (Scopus)

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.

Original languageEnglish
Article number6628606
Pages (from-to)170-174
Number of pages5
JournalProceedings of the International Conference on Document Analysis and Recognition, ICDAR
DOIs
Publication statusPublished - Dec 11 2013
Event12th International Conference on Document Analysis and Recognition, ICDAR 2013 - Washington, DC, United States
Duration: Aug 25 2013Aug 28 2013

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Experiments

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

Cite this

Part-based recognition of arbitrary fonts. / Wang, Song; Uchida, Seiichi; Liwicki, Marcus.

In: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, 11.12.2013, p. 170-174.

Research output: Contribution to journalConference article

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