Data-driven Handwriting Synthesis in a Conjoined Manner

dc.contributor.authorChen, Hsin-Ien_US
dc.contributor.authorLin, Tse-Juen_US
dc.contributor.authorJian, Xiao-Fengen_US
dc.contributor.authorShen, I-Chaoen_US
dc.contributor.authorChen, Bing-Yuen_US
dc.contributor.editorStam, Jos and Mitra, Niloy J. and Xu, Kunen_US
dc.date.accessioned2015-10-07T05:12:44Z
dc.date.available2015-10-07T05:12:44Z
dc.date.issued2015en_US
dc.description.abstractA person's handwriting appears differently within a typical range of variations, and the shapes of handwriting characters also show complex interaction with their nearby neighbors. This makes automatic synthesis of handwriting characters and paragraphs very challenging. In this paper, we propose a method for synthesizing handwriting texts according to a writer's handwriting style. The synthesis algorithm is composed by two phases. First, we create the multidimensional morphable models for different characters based on one writer's data. Then, we compute the cursive probability to decide whether each pair of neighboring characters are conjoined together or not. By jointly modeling the handwriting style and conjoined property through a novel trajectory optimization, final handwriting words can be synthesized from a set of collected samples. Furthermore, the paragraphs' layouts are also automatically generated and adjusted according to the writer's style obtained from the same dataset. We demonstrate that our method can successfully synthesize an entire paragraph that mimic a writer's handwriting using his/her collected handwriting samples.en_US
dc.description.number7en_US
dc.description.sectionheadersDrawing and Paintingen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume34en_US
dc.identifier.doi10.1111/cgf.12762en_US
dc.identifier.pages235-244en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12762en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectI.4.9 [Image Processing and Computer Vision]en_US
dc.subjectApplicationsen_US
dc.titleData-driven Handwriting Synthesis in a Conjoined Manneren_US
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