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Automatic Classification of Spatial Relationships among Mathematical Symbols Using Geometric Features

Walaa ALY, Seiichi UCHIDA, Masakazu SUZUKI

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Summary :

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.

Publication
IEICE TRANSACTIONS on Information Vol.E92-D No.11 pp.2235-2243
Publication Date
2009/11/01
Publicized
Online ISSN
1745-1361
DOI
10.1587/transinf.E92.D.2235
Type of Manuscript
PAPER
Category
Pattern Recognition

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