Support vector machines for mathematical symbol recognition

Christopher Malon, Seiichi Uchida, Masakazu Suzuki

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

4 引用 (Scopus)

抜粋

Mathematical formulas challenge an OCR system with a range of similar-looking characters whose bold, calligraphic, and italic varieties must be recognized distinctly, though the fonts to be used in an article are not known in advance. We describe the use of support vector machines (SVM) to learn and predict about 300 classes of styled characters and symbols.

元の言語英語
ホスト出版物のタイトルStructural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Proceedings
出版者Springer Verlag
ページ136-144
ページ数9
ISBN(印刷物)3540372369, 9783540372363
出版物ステータス出版済み - 1 1 2006
イベントJoint IAPR International Workshops on Structural, Syntactic, and Statistical Pattern Recognition, SSPR 2006 and SPR 2006 - Hong Kong, 中国
継続期間: 8 17 20068 19 2006

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4109 LNCS
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

その他

その他Joint IAPR International Workshops on Structural, Syntactic, and Statistical Pattern Recognition, SSPR 2006 and SPR 2006
中国
Hong Kong
期間8/17/068/19/06

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • これを引用

    Malon, C., Uchida, S., & Suzuki, M. (2006). Support vector machines for mathematical symbol recognition. : Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Proceedings (pp. 136-144). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 4109 LNCS). Springer Verlag.