Mayr M, Stumpf M, Nicolaou A, Seuret M, Maier A, Christlein V (2020)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2020
Pages Range: 528-543
Event location: Online
ISBN: 978-3-030-68238-5
URI: https://link.springer.com/chapter/10.1007/978-3-030-68238-5_38
DOI: 10.1007/978-3-030-68238-5_38
Open Access Link: https://arxiv.org/abs/2003.10593
Most people think that their handwriting is unique and cannot
be imitated by machines, especially not using completely new content.
Current cursive handwriting synthesis is visually limited or needs user
interaction. We show that subdividing the process into smaller subtasks
makes it possible to imitate someone’s handwriting with a high chance to
be visually indistinguishable for humans. Therefore, a given handwritten
sample will be used as the target style. This sample is transferred to
an online sequence. Then, a method for online handwriting synthesis is
used to produce a new realistic-looking text primed with the online input
sequence. This new text is rendered and style-adapted to the input pen.
We show the effectiveness of the pipeline by generating in- and out-of-
vocabulary handwritten samples that are validated in a comprehensive
user study. Additionally, we show that also a typical writer identification
system can partially be fooled by the created fake handwritings.
APA:
Mayr, M., Stumpf, M., Nicolaou, A., Seuret, M., Maier, A., & Christlein, V. (2020). Spatio-Temporal Handwriting Imitation. In Springer, Cham (Eds.), Proceedings of the European Conference on Computer Vision (pp. 528-543). Online.
MLA:
Mayr, Martin, et al. "Spatio-Temporal Handwriting Imitation." Proceedings of the European Conference on Computer Vision, Online Ed. Springer, Cham, 2020. 528-543.
BibTeX: Download