A facial expression recognition is one of the machine learning applications. It categorizes an image of facial expression into one of the facial expression classes based on the extracted features from an image. Convolutional Neural Network (CNN) is one of the classification methods in which also extracts patterns from an image. 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.

INDEX TERMS: Convolutional neural network, Facial expression recognition, Wavelet transform.