Handwritten Character Recognition Using Piecewise Linear Two-Dimensional Warping
نویسندگان
چکیده
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 while its computation remains tractable. The superiority of the present technique over several conventional two-dimensional warping techniques in providing deformation compensation is justified by experimental results with English alphabet. 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.
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Handwritten Character Recognition using Monotonic and Continuous Two-dimensional Warping
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