Handwritten Numeral Recognition Using Flexible Matching Based on Learning of Stroke Statistics

  • Authors:
  • Affiliations:
  • Venue:
  • ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
  • Year:
  • 2001

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Abstract

Abstract: The purpose of this study is to learn shapes and structures of a given learning set of handwritten numerals and to develop a flexible matching method for recognition based on the learning. First, this paper proposes a method of how to obtain a set of standard character patterns and the ranges of various variations statistically from the given learning character samples. Then the recognition is made as follows. Each standard pattern is deformed to match with the input character and the matching is evaluated by the energy of deformation and how close the standard pattern moved to the input.