GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Treatment of Diagrams in Document Image Analysis
Diagrams '00 Proceedings of the First International Conference on Theory and Application of Diagrams
An Approach for Processing Mathematical Expressions in Printed Document
DAS '98 Selected Papers from the Third IAPR Workshop on Document Analysis Systems: Theory and Practice
Segmentation of Touching Characters in Formulas
DAS '98 Selected Papers from the Third IAPR Workshop on Document Analysis Systems: Theory and Practice
Detection of Matrices and Segmentation of Matrix Elements in Scanned Images of Scientific Documents
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Semantic Analysis of Matrix Structures
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
ACM SIGGRAPH 2007 courses
Capturing abstract matrices from paper
MKM'06 Proceedings of the 5th international conference on Mathematical Knowledge Management
A rule-based approach to form mathematical symbols in printed mathematical expressions
MIWAI'11 Proceedings of the 5th international conference on Multi-Disciplinary Trends in Artificial Intelligence
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A wide variety of mathematical expressions printed in documents can be recognized by analyzing the two-dimensional layout structures of the symbols within the expressions. Our method consists of two basic strategies. One is a specific structure analysis where local structures of subexpressions are checked by a bottom-up method. The other is a basic structure analysis in which the global structure of a whole expression is checked by using a top-down method. The structure of a recognized expression is represented by a tree structure and the original expression can be reproduced by using a suitable formatter like T/sub E/X. Experiments have been carried out for many types of expressions found in printed journals and our recognition method has shown favorable results.