---
language:
  - en
license: mit
pretty_name: Typed Digital Signatures Dataset
tags:
  - digital-signatures
  - synthetic-data
  - image-classification
  - computer-vision
  - google-fonts
  - handwriting
task_categories:
  - image-classification
  - zero-shot-image-classification
  - image-feature-extraction
size_categories:
  - 10K<n<100K
---

# Typed Digital Signatures Dataset

This comprehensive dataset contains synthetic digital signatures rendered across 30 different Google Fonts, specifically selected for their handwriting and signature-style characteristics. Each font contributes unique stylistic elements, making this dataset ideal for robust signature analysis and font recognition tasks.

## Dataset Overview

- **Total Fonts**: 30 different Google Fonts
- **Images per Font**: 3,000 signatures
- **Total Dataset Size**: ~90,000 signature images in .png format

## Included Fonts

All fonts are freely available through Google Fonts and are categorized here by style:

### Elegant Script Fonts
- Alex Brush
- Arizonia
- Bilbo Swash Caps
- Great Vibes
- Kaushan Script
- Mr De Haviland
- Rouge Script
- Tangerine

### Natural Handwriting Fonts
- Bad Script
- Calligraffitti
- Cedarville Cursive
- Dancing Script
- Indie Flower
- Kalam
- La Belle Aurore
- Marck Script
- Nanum Pen Script
- Over the Rainbow
- Shadows Into Light
- Whisper

### Signature-Style Fonts
- Birthstone
- Cookie
- Lobster
- MonteCarlo
- Meddon
- Pacifico
- Sacramento
- Satisfy
- Yellowtail

### Marker Style
- Permanent Marker

## Dataset Organization

The dataset is organized into 30 folders, one for each font. Each folder contains 3,000 signature images.

Each folder follows the naming convention of the font name (e.g., "Alex_Brush", "Dancing_Script"), and contains sequentially numbered PNG files:
```
dataset2/
    Alex_Brush/
        000.png
        001.png
        002.png
        ...
        2999.png
    Dancing_Script/
        000.png
        001.png
        002.png
        ...
        2999.png
    etc...
```

Each image is numbered from 000 to 2999, with the format: `{index:03d}.png`

## Purpose

Detect the existence of typed digital signatures within documents for legal or compliance checks.
A typed digital signature is one which has used a keyboard to produce a signature, instead of being hand drawn, utilizing font styling to give the appearance of a genuine signature.
This dataset is designed for developing and testing models that can detect and verify typed digital signatures by their popular font styles. 
The extensive variety of fonts enables robust model training across different signature styles commonly used in digital document signing platforms.

## Features

- Comprehensive typed digital signature collection of 30 Google Fonts
- 3,000 samples per font
- Consistent image dimensions and quality
- All fonts freely available through Google Fonts API

## Usage

This dataset can be used for:
- Training typed digital signature verification models
- Font recognition and classification
- Document processing pipelines
- Signature style transfer research
- OCR system development
- Digital document authentication

## License
This dataset is released under the MIT license.

## Citation

If you use this dataset in your research, please cite:
```
@dataset{typed_digital_signatures,
  author = {Benjy},
  title = {Typed Digital Signatures Dataset},
  year = {2024},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/Benjy/typed_digital_signatures}
}
```

## Acknowledgments

This dataset was created to support research in digital signature verification and synthesis using Google Fonts.

Credit to https://github.com/elifiner for the open source list of random names.