Research

My Text in Your Handwriting


Reference:

Haines, T. S.F., Mac Aodha, O. and Brostow, G. J., 2016. My Text in Your Handwriting. ACM Transactions on Graphics, 35 (3), 26.

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    Official URL:

    https://doi.org/10.1145/2886099

    Abstract

    There are many scenarios where we wish to imitate a specific author’s pen-on-paper handwriting style. Rendering new text in someone’s handwriting is difficult because natural handwriting is highly variable, yet follows both intentional and involuntary structure that makes a person’s style self-consistent. The variability means that naive example-based texture synthesis can be conspicuously repetitive. We propose an algorithm that renders a desired input string in an author’s handwriting. An annotated sample of the author’s handwriting is required; the system is flexible enough that historical documents can usually be used with only a little extra effort. Experiments show that our glyph-centric approach, with learned parameters for spacing, line thickness, and pressure, produces novel images of handwriting that look hand-made to casual observers, even when printed on paper.

    Details

    Item Type Articles
    CreatorsHaines, T. S.F., Mac Aodha, O. and Brostow, G. J.
    DOI10.1145/2886099
    DepartmentsFaculty of Science > Computer Science
    Research CentresEPSRC Centre for Doctoral Training in Statistical Mathematics (SAMBa)
    Publisher Statementmy_text_in_your_handwriting.pdf: © ACM, 2016. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Graphics, {35(3), 2016. https://doi.org/10.1145/2886099.
    RefereedYes
    StatusPublished
    ID Code56743

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