University College London
Transactions on Graphics 2016
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.
We present 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 An annotated sample of the author's handwriting is required; the system is flexible enough that historical documents can usually be used with only a little extra effort.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.
@INPROCEEDINGS{HainesTOG2016, author = {Haines, Tom S.F. and Mac Aodha, Oisin and Brostow, Gabriel J.}, title = {{My Text in Your Handwriting}}, booktitle = {Transactions on Graphics}, year = {2016}, }
Project supported by EPSRC grants EP/J021458/1, EP/K023578/1, and CR-PLAY EU project #611089. We would like to thank Aindri, Bryan, and Melissa Terras, and the reviewers for their kind assistance.