Statistical classification of spatial relationships among mathematical symbols

Walaa Aly, Seiichi Uchida, Akio Fujiyoshi, Masakazu Suzuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

In this paper, a statistical decision method for automatic classification of spatial relationships between each adjacent pair is proposed. Each pair is composed of mathematical symbols and/or alphabetical characters. Special treatment of mathematical symbols with variable size is important. This classification is important to recognize an accurate structure analysis module of math OCR. Experimental results on a very large database showed that the proposed method worked well with an accuracy of 99.57% by two important geometric feature relative size and relative position.

Original languageEnglish
Title of host publicationICDAR2009 - 10th International Conference on Document Analysis and Recognition
Pages1350-1354
Number of pages5
DOIs
Publication statusPublished - Dec 10 2009
EventICDAR2009 - 10th International Conference on Document Analysis and Recognition - Barcelona, Spain
Duration: Jul 26 2009Jul 29 2009

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
ISSN (Print)1520-5363

Other

OtherICDAR2009 - 10th International Conference on Document Analysis and Recognition
CountrySpain
CityBarcelona
Period7/26/097/29/09

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All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

Cite this

Aly, W., Uchida, S., Fujiyoshi, A., & Suzuki, M. (2009). Statistical classification of spatial relationships among mathematical symbols. In ICDAR2009 - 10th International Conference on Document Analysis and Recognition (pp. 1350-1354). [5277745] (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR). https://doi.org/10.1109/ICDAR.2009.90