PROPOSED FEATURE-BASED ENHANCEMENT METHOD TO REDUCE BLUR FACE FRONTALIZATION FOR BETTER DETECTION IN UNCONSTRAINED IMAGES

Abstract

Face plays a significant part in social interaction to express a person's personality and feelings. It has become the most widely used and accepted biometric method because it is uniqueness and universality. There is an important role for automatic face systems especially in facial expression recognition, face recognition, human-computer interaction, and head- pose estimation. Face detection is a computer technology that determines the size and location of a human face in a digital image and it being a standout amongst topics in computer vision literature. This paper proposed a feature-based enhancement method to reduce blur face frontalization for better detection in unconstrained images