Nepali Currency Recognition Classifier

This repository contains code for a Nepali currency recognition classifier implemented in Python using TensorFlow and Keras.

Overview

The classifier is based on a pre-trained VGG16 model with additional layers added for fine-tuning to the specific task of recognizing Nepali currency notes. It is trained on a dataset consisting of images of Nepali currency notes belonging to 7 different classes.

Files

• Nepali_Currency_Recognition_Classifier.ipynb: Jupyter Notebook containing the code for the classifier.
• currency_classifier_model.h5: Saved model file containing the trained classifier model.
• Test Images/: Folder containing test images for evaluating the classifier.

Usage

1. Training: The notebook contains code for training the classifier. Simply run the notebook cells to train the model.

2. Testing: Once trained, you can test the classifier on new images by placing them in the Prediction Checker/ folder and running the prediction code provided in the notebook.

Dataset

Please note that the training dataset is not included in this repository due to its size. You can download the dataset from Kaggle. After downloading, extract the dataset and arrange the folder structure as follows:

dataset/
│
├── train/
│   ├── class_1/
│   ├── class_2/
│   ├── ...
│   └── class_n/
│
└── valid/
    ├── class_1/
    ├── class_2/
    ├── ...
    └── class_n/

Replace class_1, class_2, etc., with the actual class names or labels of the currency notes.

Dependencies

• TensorFlow
• Keras
• Matplotlib
• NumPy

License

This project is licensed under the GPL-3.0 License - see the LICENSE file for details.