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.

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数据集版权信息

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