A Multiple-Classifier System for Recognition of Printed Mathematical Symbols

Authors:
Utpal Garain;B. B. Chaudhuri;R. P. Ghosh
Affiliations:
Indian Statistical Institute;Indian Statistical Institute;MCKV Institute of Engineering
Venue:
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Year:
2004

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Segmentation of Touching Symbols for OCR of Printed Mathematical Expressions: An Approach based on Multifactorial Analysis

ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Mathematical symbol recognition with support vector machines

Pattern Recognition Letters

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Abstract

This paper deals with recognition of printed mathematical symbols. A group of classifiers arranged hierarchically is used to achieve robust recognition of the large number of symbols appearing in expressions. The classifier used at the top level employs stroke-based classification technique to recognize some of the frequently occurring symbols. The second level uses three classifiers to recognize the rest of the expression symbols. Different combination techniques have been attempted to integrate the second level classifiers to achieve high recognition accuracy. Experiment shows that the proposed approach is quite robust for recognition of a large number of symbols appearing in various expressions.