Face Detection and Smile Classification

We use a combination of image analysis techniques and a neural network to design a face detector. In this paper, we apply J48, Naïve Bayes, and Artificial Neural Network Machine Learning techniques in identifying smiles within a picture. We then take the same image analysis techniques and adapt it to also quantify faces in a picture, and then use different classifiers to determine if a smile is taking place. Results indicate that identifying smiles is possible with current technology and is ready for real-world application.