Automatic classification of spatial relationships among mathematical symbols using geometric features

Walaa Aly, Seiichi Uchida, Masakazu Suzuki

研究成果: Contribution to journalArticle査読

1 被引用数 (Scopus)

抄録

Machine recognition of mathematical expressions on printed documents is not trivial even when all the individual characters and symbols in an expression can be recognized correctly. In this paper, an automatic classification method of spatial relationships between the adjacent symbols in a pair is presented. This classification is important to realize an accurate structure analysis module of math OCR. Experimental results on very large databases showed that this classification worked well with an accuracy of 99.525% by using distribution maps which are defined by two geometric features, relative size and relative position, with careful treatment on document-dependent characteristics.

本文言語英語
ページ(範囲)2235-2243
ページ数9
ジャーナルIEICE Transactions on Information and Systems
E92-D
11
DOI
出版ステータス出版済み - 2009

All Science Journal Classification (ASJC) codes

  • ソフトウェア
  • ハードウェアとアーキテクチャ
  • コンピュータ ビジョンおよびパターン認識
  • 電子工学および電気工学
  • 人工知能

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