A fascinating and intense issue nowadays is the difficult problem of identifying human faces when they are obscured by various obstructions. Due to a sizable occluded zone dearth un-occluded portions, capacity most identification algorithms goes off dramatically. We describe pre-processing approach for that effective features-based fullest extent. Pose, lighting, age, emotions, hair covering fa...

This project involves the design and implementation of face emotion recognition system using convolutional neural network models. Face Emotion Recognition plays an important role in fields like computer vision artificial intelligence to its significant academic commercial potential.The work focuses on studies facial expression because expressions are one channel interpersonal communication. KEY...