---
license: mit
tags:
  - dataset
  - signature-verification
  - handwritten-signature
  - offline-signature-verification
  - biometric-authentication
  - computer-vision
  - document-ai
pretty_name: Multilingual Signature Verification Dataset
size_categories:
  - 1K<n<10K
language:
  - en
  - hi
  - bn
task_categories:
  - image-classification
  - image-feature-extraction
---

# Multilingual Signature Verification Dataset

## Dataset Summary

The **Multilingual Signature Verification Dataset** is a curated collection of handwritten signatures designed for **offline signature verification** and related computer vision tasks.

The dataset contains more than **7,000 signature images** spanning three major writing systems:

- **Hindi**
- **Bengali**
- **English**

The English portion includes samples from the well-known **CEDAR Signature Dataset**, while additional Hindi and Bengali signatures have been curated to support multilingual signature verification research.

The dataset has been preprocessed and organized into ready-to-use **train**,**test** and **valid** splits for machine learning workflows.

---

# Supported Tasks

This dataset can be used for:

- Offline Signature Verification
- Signature Classification
- Signature Recognition
- Siamese Network Training
- Contrastive Learning
- Metric Learning
- Image Embedding Models
- Document AI Research
- Handwritten Biometrics

---

# Dataset Structure

```
dataset/
├── train/
│   ├── person_0001/
│   ├── person_0002/
│   ├── ...
│
└── test/
    ├── person_0005/
    ├── person_0021/
    ├── ...
```

Each class corresponds to a unique signer identity.

---

# Dataset Statistics

| Property | Value |
|----------|-------|
| Total Samples | 7,000+ |
| Languages | English, Hindi, Bengali |
| Data Type | Offline handwritten signatures |
| Train/Test Split | Yes |
| Image Format | PNG/JPG (depending on uploaded files) |
| Task | Signature Verification |

---

# Languages Included

## English

The English subset contains signatures derived from the **CEDAR Signature Dataset**, one of the most widely used benchmark datasets for offline signature verification research.

## Hindi

Contains handwritten signatures written in the Devanagari script.

## Bengali

Contains handwritten signatures written in the Bengali script.

The multilingual composition enables research on language-independent and script-independent signature verification models.

---

# Loading the Dataset

Using the 🤗 Datasets library:

```python
from datasets import load_dataset

dataset = load_dataset("rakshitdabral/Signature-Verification-Dataset")
```

Example:

```python
train = dataset["train"]
test = dataset["test"]

print(train[0])
```

---

# Example Training Applications

This dataset is suitable for training:

- ResNet
- ConvNeXt
- Vision Transformer (ViT)
- EfficientNet
- MobileNet
- Siamese Networks
- Triplet Networks
- ArcFace-based Models
- Contrastive Learning Pipelines

---

# Recommended Evaluation Metrics

- Accuracy
- Precision
- Recall
- F1 Score
- ROC-AUC
- Equal Error Rate (EER)
- False Acceptance Rate (FAR)
- False Rejection Rate (FRR)

---

# Intended Use

This dataset is intended for:

- Academic research
- Signature verification systems
- Identity verification research
- Document processing
- Machine learning benchmarking
- Deep learning research
- Educational purposes

---

# Limitations

- The dataset focuses on **offline handwritten signatures** only.
- It is not intended for online signature dynamics (pressure, speed, stroke order).
- Performance may vary across scripts depending on model architecture and training strategy.

---

# Citation

If you use this dataset in your research, please cite this repository.

```bibtex
@dataset{signature_verification_dataset,
  title={Multilingual Signature Verification Dataset},
  author={Rakshit Dabral},
  year={2026},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/rakshitdabral/Signature-Verification-Dataset}
}
```

---

# License

This dataset is released under the **MIT License**.

Please ensure compliance with the licensing terms of any original source datasets (such as the CEDAR Signature Dataset) when using or redistributing derived data.

---

# Acknowledgements

- CEDAR Signature Dataset
- Hugging Face Datasets
- Open-source computer vision community

---

# Contact

For questions, issues, or contributions, please open an issue on the Hugging Face repository or contact the dataset maintainer.