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Indian Currency Recognition Dataset

Overview

The Indian Currency Recognition Dataset is a publicly available dataset designed for researchers and developers working on currency classification, currency recognition, and counterfeit currency detection using computer vision and deep learning.

The dataset contains high-resolution images of multiple Indian currency denominations captured under real-world conditions. It includes both old and new currency notes and has been augmented to improve model generalization.


Dataset Information

Attribute Details
Dataset Name Indian Currency Dataset
Version 1
Published 28 August 2020
DOI 10.17632/48ympv8jjf.1
License CC BY 4.0
Total Original Images 4,657
Total Augmented Images 11,657
Image Format JPEG
Camera Used Moto X Play (21 MP)

Supported Currency Denominations

The dataset contains images of the following Indian currency notes:

  • ₹10 (Old & New)
  • ₹20 (Old)
  • ₹50 (Old & New)
  • ₹100 (Old & New)
  • ₹200
  • ₹500
  • ₹2000

Dataset folders:

Rs.10/
Rs.20/
Rs.50/
Rs.100/
Rs.200/
Rs.500/
Rs.2000/

Image Specifications

Landscape Images

  • Resolution: 5344 × 3006

Portrait Images

  • Resolution: 3006 × 5344

All images were captured using a Moto X Play smartphone equipped with a 21 MP camera.


Data Augmentation

To increase dataset diversity and improve deep learning performance, the following augmentation techniques were applied:

  • Zoom
  • Rotation (90°)
  • Rotation (270°)
  • Tilt
  • Distortion
  • Horizontal Flip

After augmentation, the dataset size increased from 4,657 images to 11,657 images.


Applications

This dataset can be used for:

  • Indian Currency Recognition
  • Currency Classification
  • Deep Learning Research
  • Computer Vision Projects
  • Assistive Technology for Visually Impaired Individuals
  • Counterfeit Currency Detection
  • Mobile Currency Recognition Applications

Dataset Structure

Indian-Currency-Dataset/
│
├── Rs.10/
├── Rs.20/
├── Rs.50/
├── Rs.100/
├── Rs.200/
├── Rs.500/
├── Rs.2000/
└── README.md

Source

This dataset was developed as part of the project:

"Coinnet: Platform-independent Application to Recognize Indian Currency Notes Using Deep Learning Techniques."

The work was carried out during a sabbatical at Bennett University with support from SR University (formerly SR Engineering College), Warangal.


Citation

If you use this dataset in your research or project, please cite:

@dataset{veeramsetty2020indiancurrency,
  author = {Venkataramana Veeramsetty and Gaurav Singal and Tapas Badal},
  title = {Indian Currency Dataset},
  year = {2020},
  publisher = {Mendeley Data},
  version = {V1},
  doi = {10.17632/48ympv8jjf.1}
}

Citation:

Veeramsetty, V., Singal, G., & Badal, T. (2020). Indian Currency Dataset (Version 1). Mendeley Data. https://doi.org/10.17632/48ympv8jjf.1


Related Resources


License

This dataset is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) License.

You are free to:

  • Share
  • Adapt
  • Build upon the dataset

provided appropriate credit is given to the original authors.

For more information, visit:

https://creativecommons.org/licenses/by/4.0/


Acknowledgements

Special thanks to:

  • Venkataramana Veeramsetty
  • Gaurav Singal
  • Tapas Badal

for collecting and publishing this dataset for the research community.