Facial Expression Recognition and Gender Detection Using CNN

Abstract

The very popular method for Facial Recognition and Classification is Deep Learning. There are different types of deep learning algorithms such as Deep Belief Network (DBN) and Convolutional Neural Network (CNN). In this paper we present a new architecture network based on CNN for building a facial recognizer model which detects the emotion and gender of a person in real-time and classify accordingly. We will be using Convolution Neural Network to implement this model which is the best algorithm for Facial Emotion Recognition (FER) and Gender Detection. To evaluate our network architecture we will test the model with large databases that are publicly available. Obtained results show that the CNN approach is an effective expression and gender detection model.