Literature Survey on Application of Deep Learning in Face Recognition

Deep learning is an emerging technique in artificial intelligence in which a machine tries to copy the learning capability of human brain. As deep learning tries to mimic human brain it has the capability of overcoming many challenges in face recognition like change in expressions, pose, illumination, age etc. to an extent. This research explores some of the most advanced deep learning methods for face recognition. The algorithms that are being reviewed in this article are based on various techniques such as data augmentation, generation of synthetic training data, batch normalisation, linear binary pattern network, and others, which are used in conjunction with conventional Convolutional Neural Network to improve the performance of the algorithms. When comparing the approaches presented in this article to traditional face recognition algorithms, it can be concluded that the performance of face recognition is significantly enhanced.