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Currency Classification System Using Deep Learning
Author Name : Mr. K Chandanesh Reddy, Mr. S. Choudaiah
ABSTRACT
The machine learning applications has one type of facial expression recognition . This application can categorize the facial expressions of image into one of the facial expression classes based on the image where the features are extracted. From an image we can extract the patterns with one of the classification method, Convolutional Neural Network (CNN). In our proposed work, we applied the CNN method to recognize facial expression. The wavelet transform is applied after the processing with CNN to improve the accuracy of facial expression recognition. The facial expression image dataset are taken from Kaggle which contains seven different facial expressions. The experimental results of facial expression recognition using CNN with wavelet transform achieve better accuracy.
KEYWORDS: Currency image dataset, CNN algorithm, MobileNet, Data Augmentation, Tensorflow.