FACE RECOGNIZATION AND IDENTIFICATION USING MACHINE LEARNING SYSTEM

FACE RECOGNIZATION AND IDENTIFICATION USING MACHINE LEARNING SYSTEM

Project Guide : Prof.R.R.Kolte

Department of Information Technology , KDK College of Engineering.

Ruchita Chandekar , Aman Chavare , Maithili Mate , Tejaswini Raut , Snehal Meshram

Department of Information Technology , KDK College of Engineering.

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Abstract :- 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 approach based on the Extreme Learning Machines technique to perform the task of Face Tagging for Social Networks operating on Big Data.  Identifying a person with an image has been popularised through the mass media. For face detection, Haar-Cascades were used and for face recognition,. The methodology is described including flow charts for each stage of the system. Next, the results are shown including plots and screen-shots followed by a discussion of encountered challenges. The report is concluded with the authors opinion on the project and possible applications.

Keywords : Face recognition, Face detection, Web-cam,