Automatic classification of spatial relationships among mathematical symbols using geometric features

Walaa Aly, Seiichi Uchida, Masakazu Suzuki

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)2235-2243
Number of pages9
JournalIEICE Transactions on Information and Systems
VolumeE92-D
Issue number11
DOIs
Publication statusPublished - 2009

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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