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2005
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Handwriting Matching and Its Application to Handwriting Synthesis

9 years 5 months ago
Handwriting Matching and Its Application to Handwriting Synthesis
Since it is extremely expensive to collect a large volume of handwriting samples, synthesized data are often used to enlarge the training set. We argue that, in order to generate good handwriting samples, a synthesis algorithm should learn the shape deformation characteristics of handwriting from real samples. In this paper, we present a point matching algorithm to learn the deformation, and apply it to handwriting synthesis. Preliminary experiments show the advantages of our approach.
Yefeng Zheng, David S. Doermann
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where ICDAR
Authors Yefeng Zheng, David S. Doermann
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