Handwritten Character Recognition Using Piecewise Linear Two-Dimensional Warping

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

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Abstract

Abstract: In this paper, the effectiveness of piecewise linear two-dimensional warping, a dynamic programming-based elastic image matching technique, in handwritten character recognition is investigated. The present technique is capable of providing compensation for most variations in character patterns with tractable computation. The superiority of the present technique over several conventional two-dimensional warping techniques in variation compensating is experimentally justified. Another comparison with monotonic and continuous two-dimensional warping, a more flexible matching technique, reveals that the present method takes far less computation than the latter, yet provides almost the same recognition accuracy for most categories.