Facial Expression Recognition Using Static Facial Images

G.Sowmiya ¹ , V. Kumutha²

1. Department of Computer Science, Sri Krishna Arts and Science College, Coimbatore, India.
2. Department of Computer Science, Sri Krishna Arts and Science College, Coimbatore, India.

Section:Research Paper, Product Type: Isroset-Journal
Vol.6 , Issue.2 , pp.72-75, Apr-2018

CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i2.7275

Online published on Apr 30, 2018

Copyright © G.Sowmiya, V. Kumutha . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Abstract Delicate concerns about the treatment of individuals during interviews and interrogations have stimulated efforts to develop "non-intrusive" technologies for rapidly assessing the credibility of statements by individuals in a variety of sensitive environments. Methods or processes that have the potential to exactly focus investigative resources will advance operational excellence and improve investigative capabilities. Facial expressions have the capacity to communicate emotion and regulate interpersonal behavior. Facial Expression Recognition -FER has been dramatically developed in recent years, especially machine learning, Image processing and human cognition. For this reason, the bang and possible usage of automatic facial expression recognition system have been mounting in a broad range of applications, including human-computer interaction, robot control and driver state observation. This paper proposes an automatic facial expression recognition using static facial images, capable of distinctive the four universal emotions: neutral, happiness, sadness and surprise. It is designed to be person independent and tailored only for static images.

Key-Words / Index Term :
Keywords Facial Expression recognition, eye and lip detection, Bezier curve, emotion, RGB color, binary image pixel.

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