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International Journal of Engineering and Management Research (IJEMR)
Year : 2017, Volume : 7, Issue : 4
First page : ( 17) Last page : ( 22)
Print ISSN : 2394-6962. Online ISSN : 2250-0758.

A New Technique using Cubic Curves and Hamming Distance to Detect Human Emotions

Neela R.1, Jayasri M.2

1Department of Computer Science, AVC College (Autonomous), Mannampandal, India

2M. Phil. Research Scholar, Department of Computer Science, AVC College (Autonomous), Mannampandal, India

Online published on 31 October, 2017.

Abstract

Face recognition is the emerging branch of bio-metric for security as no faces can be defeated as a security approach. Face detection can be used in some practical applications, such as face registration and preliminary part of face recognition, face expression analysis etc. The advances in real-world face detection technique, begins with a seminal Viola-Jones Face Detector Methodology. This technique is categorized into two schemes: rigid templates, boosting based methods. Face recognition to exploit many facial activities like anger, happiness and sadness. This paper presents the a new technique for detect human emotions from images as well as from videos.

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Keywords

Face detection, Face recognition, Facial expressions, images.

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