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

  • Authors:
  • Utpal Garain;B. B. Chaudhuri

  • Affiliations:
  • Indian Statistical Institute, India;Indian Statistical Institute, India

  • Venue:
  • ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
  • Year:
  • 2005

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Abstract

This paper deals with segmentation and recognition of touching characters appearing in scannedmathematical expressions. The technique is based on multifactorial analysis that integrates several factors determining cut-positions in a touching character image. A predictive algorithm is developed for efficient selection of possible cut-positions for segmenting touching characters. Experiment has been carried out using a test-set of reasonable size and results show that a considerable improvement in recognition accuracy can be achieved with a modest increase in computations.