An Improved Model for Imperfect Facial Recognition using Python-Open CV
A. O. Akintoye · International Journal of Engineering Research and · 2019
A face recognition is prevalently carried out by using 'perfect' data of full-frontal facial images without any sort of damage like due to accident on the image.Actually, there are various circumstances where full frontal faces may not be accessible.In this case, the available imperfect facial pictures that frequently originate from Closed Circuit Television (CCTV) cameras are used in place of the perfect full-frontal images.Hence, the problem of computer-based face recognition using impartial facial data as analysis is still largely an unexplored area of research.For the fact that the way humans carry out facial recognition and verification is different from how machines do, it must be fascinating to see how a machine favors different pieces of the face when exhibited to the difficulties of face recognition.This paper, therefore, investigates the question that encompasses the idea of face recognition using incomplete facial information.The experiment will be based on using Object Oriented Programming Language (OOP) along with OPENCV (Open Computer Vision) for proper classification and identification of a human face.