Detection and segmentation of touching characters in mathematical expressions

Akihiro Nomura, Kazuyuki Michishita, Seiichi Uchida, Masakazu Suzuki

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

15 Citations (Scopus)

Abstract

A technique for the detection and the segmentation of touching characters in mathematical expressions is presented. In the detection stage, a connected component initially recognized into some category is judged as a candidate of touched characters if its feature values deviate from the standard feature values of the category. In the segmentation stage, two component characters of the candidate are decided by the comparison with touching character images synthesized from two single character images. Experimental results showed the effectiveness on the accuracy improvement of the recognition of mathematical expressions.

Original languageEnglish
Title of host publicationProceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003
PublisherIEEE Computer Society
Pages126-130
Number of pages5
ISBN (Electronic)0769519601
DOIs
Publication statusPublished - 2003
Event7th International Conference on Document Analysis and Recognition, ICDAR 2003 - Edinburgh, United Kingdom
Duration: Aug 3 2003Aug 6 2003

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume2003-January
ISSN (Print)1520-5363

Other

Other7th International Conference on Document Analysis and Recognition, ICDAR 2003
CountryUnited Kingdom
CityEdinburgh
Period8/3/038/6/03

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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