Handwritten Character Recognition Using Monotonic and Continuous Two-Dimensional Warping

  • Authors:

  • S. Uchida;H. Sakoe

  • Affiliations:

  • -;-

  • Venue:
  • ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
  • Year:
  • 1999

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Abstract

In this paper, a handwritten character recognition experiment using a monotonic and continuous two-dimensional warping algorithm is reported. This warping algorithm is based on dynamic programming and searches for the optimal pixel-to-pixel mapping between given two images subject to two-dimensional monotonicity and continuity constraints. Experimental comparisons with rigid matching and local perturbation show the performance superiority of the monotonic and continuous warping in character recognition.