Indian-Currency-Classification

An application for classifying new indian currency notes using random forest classifier. It is implemented with the help of opencv and scikit-learn library. The dataset used for training consists of 1050 images of new currency notes(INR). It includes denominations of 10, 20, 50, 100, 200, 500 and 2000 rupees notes(i.e. 7 classes with 150 each).

Here we use hu moments(shape), haralick(texture) and colour histogram(colour) as global features and bag of visual words(BOVW) with SIFT as a local feature descriptor. It is then trained using a random forest classifier using scikit-learn library.

Finally during inference, we extract the rectangular ROI's from the preprocessed image using opencv(cropped rotated contours) and predicts the class labels using the trained random forest model.

Dependencies

• Python3, Scikit-learn
• Opencv+contrib, Mahotas
• Pickle, Joblib

Demo

How to run

python bovw.py # Feature extraction
python hyper_train.py # Hyperparameter tuning
python train.py # Model training
python predict.py # Model inference
python currency.py # Currency classification

Training Results

Best Parameters:-

bootstrap=True, criterion='gini',
min_samples_leaf=1, min_samples_split=2,
min_weight_fraction_leaf=0.0, n_estimators=200,
n_jobs=-1,verbose=1

Cross Validation Accuracy: 0.98 (+/- 0.01)

Confusion Matrix:-

	10	20	50	100	200	500	2000
10	28	0	1	0	2	0	0
20	0	24	0	0	0	1	0
50	0	0	27	0	0	0	0
100	0	0	0	32	0	0	0
200	2	0	0	0	31	0	0
500	0	1	0	0	0	26	0
2000	0	0	0	0	0	0	35

Sample Output

Versioning

Version 1.0

Authors

Anil Sathyan

Acknowledgments

• "https://kushalvyas.github.io/BOV.html"
• "https://gogul.dev/software/image-classification-python"
• "https://github.com/briansrls/SIFTBOW"
• "https://www.pyimagesearch.com/2017/01/02/rotate-images-correctly-with-opencv-and-python/"
• "https://towardsdatascience.com/optimizing-hyperparameters-in-random-forest-classification-ec7741f9d3f6"
• "https://stackoverflow.com/questions/11627362/how-to-straighten-a-rotated-rectangle-area-of-an-image-using-opencv-in-python/48553593#48553593"
• "https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_imgproc/py_contours/py_contour_features/py_contour_features.html"