A multiple-classifier system for recognition of printed mathematical symbols

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 recog...

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Bibliographic Details
Main Authors: Garain, U., Chaudhuri, B.B., Ghosh, R.P.
Format: Conference Proceeding
Language:English
Subjects:
Character recognition
Computer science
Computer vision
Feature extraction
Handwriting recognition
Pattern recognition
Robustness
Shape
Testing
Typesetting
Online Access:Request full text
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Summary: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.
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2004.1334131