Part-based recognition of arbitrary fonts

Song Wang, Seiichi Uchida, Marcus Liwicki

研究成果: ジャーナルへの寄稿会議記事査読

2 被引用数 (Scopus)


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.

ジャーナルProceedings of the International Conference on Document Analysis and Recognition, ICDAR
出版ステータス出版済み - 2013
イベント12th International Conference on Document Analysis and Recognition, ICDAR 2013 - Washington, DC, 米国
継続期間: 8月 25 20138月 28 2013

!!!All Science Journal Classification (ASJC) codes

  • コンピュータ ビジョンおよびパターン認識


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