Benjy/digital_signatures
Digital Signatures Dataset This dataset contains unique synthetic digital signatures rendered in different fonts: 4,000 synthetic signatures in Rage font 4,000 synthetic signatures in Mistral font 2,000 synthetic signatures in Arial Unicode font Purpose For the development of models that can detect digital signatures in documentation using the publicly available Docusign® font styles. Structure The dataset is organized into three folders: rage/… See the full description on the dataset page: https://huggingface.co/datasets/Benjy/digital_signatures.
Digital Signatures Dataset
This dataset contains unique synthetic digital signatures rendered in different fonts:
- 4,000 synthetic signatures in Rage font

- 4,000 synthetic signatures in Mistral font

- 2,000 synthetic signatures in Arial Unicode font

Purpose
For the development of models that can detect digital signatures in documentation using the publicly available Docusign® font styles.
Structure
The dataset is organized into three folders:
rage/- Contains synthetic signatures rendered in Rage fontmistral/- Contains synthetic signatures rendered in Mistral fontarial_unicode/- Contains synthetic signatures rendered in Arial Unicode font
Each image follows the naming convention: {font_name}_{index:04d}.jpg Examples:
rage_0000.jpgmistral_0001.jpgarial_unicode_0002.jpg
Total dataset size: 10,000 signature images
Usage
This dataset can be used for:
- Training signature verification models
- Testing font recognition systems
- Developing digital document processing pipelines
License
This dataset is released under the MIT license.
Citation
If you use this dataset in your research, please cite:
@dataset{digital_signatures,
author = {Benjy},
title = {Digital Signatures Dataset},
year = {2024},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/Benjy/digital_signatures}
}Acknowledgments
This dataset was created to support research in digital signature verification and synthesis, while acknowledging the limitations of publicly available font alternatives to proprietary signature systems.
Credit to https://github.com/elifiner for the open source list of random names.
