Cloud Based Big Data Analytics Framework for Face Recognition in Social Networks using Machine Learning

Face recognition (FR) has been at the crux of several novel breakthroughs over the past two decades and has steadily proffered several cross-domain applications that range from mainstream commercial software to critical law enforcement applications. Recent groundbreaking developments in Big Data analysis, Cloud Computing, Social Networks and Machine learning have vastly transformed the conventional view of how several formidable problems in Computer Vision can be tackled. Hence in this paper, we will provide a thorough survey of the concepts of Cloud Computing, Big Data, Social networks and Machine Learning from a contemporary perspective of FR, and proffer a framework for a novel FR approachbased on the Extreme Learning Machines technique to perform the task of Face Tagging for Social Networks operating on Big Data. In the proposed approach, the desirable properties of the aforementioned concepts are amalgamated to form an effective coalition that can augment the performance of FR, in addition to serving immeasurably in a plethora of other disciplines. (C) 2015 The Authors. Published by Elsevier B.V.