A Narrative Framework with Ensemble Learning for Face Emotion Recognition

Abstract

Face recognition is playing essential role in many different kind of sectors. Past four decades face recognition (FR) features are extracted for security, entertainment, employment and so on. Most auspicious part of our research across the world is focusing to the living being and nature, etc. Our ancient myths are stated that mind is the origin of all the thoughts and it can be expresses by eyes. Artificial intelligence is playing vital role in living being’s life, for instance education, research, medical, forecasting, many kinds of natural disaster and so on. In this paper, we focused on deepest relativity between mind and matter and how the mind is emotionally connected with eyes. We extract the features of mind and its correlation activities because mind is acted as the creator for any event and face is the output from the mind. Through the features we have planned to construct the security, employment areas like candidate hiring process to various industry sectors. We proposed ensemble learning techniques to achieve mind functions and how it can be imposed to the eye visions.