Scientific and Anatomical Character Reading from the Face Using Deep Learning

Abstract

This paper presents brief overview of the Character Reading from the Face using Deep Learning techniques. From the earliest ages to the present day character reading from the face, has had a fascination for mankind. As everyone is aware that Face is the Index of the Mind. Character-reading from the face ranks as a science, if based upon anatomical principles and a practical knowledge of the values and properties of brain, bone, nerve, muscle, blood tissue, and hair. In future many businesses use these techniques in promoting their sales and services to their customers/consumers. This technique is also used for education psychologist, family counselors, psychiatrist and doctors to study the psychological behavior based on face reading. It stands apart from palmistry, thought-reading or astrology, and does not presume to predict the future or dive into the past. This paper shows the forest of the Title, in later papers in depth analysis will be discussed. This paper briefly explains different tasks such as Image Captioning, Image Question Answering, Document Summarization and Machine Translation by integrating with science (physiognomy) and computers using deep neural network working architectures built for computer vision like Recurrent Neural Networks (RNN) and Convolutional Neural Networks (CNN).