Feature Extraction For Emotion Detection

Authors

  • Mohit Gahlot  Computer Science, The NorthCap University, Gurugram, Haryana, India
  • Mayank Dhinrga  Computer Science, The NorthCap University, Gurugram, Haryana, India
  • Garima Sharma  Computer Science, The NorthCap University, Gurugram, Haryana, India

Keywords:

Feature Extraction, Clustering, Emotion Detection, Histogram Thresholding, Image Segmentation

Abstract

Segmentation is the process of dividing an image into the multiple segments to simplify and or change the depiction of an image into something meaningful and easier to examine. This paper presents an approach to extract basic features of face to recognize human emotion. Facial features like eye aperture, mouth aperture, and the size of eyebrow constriction are calculated from the localized regions. Experimental results of proposed scheme for feature extraction are simple and robust, and with good accuracy.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-04-30

Issue

Volume 4, Issue 4, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Mohit Gahlot, Mayank Dhinrga, Garima Sharma "Feature Extraction For Emotion Detection" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 4, pp.641-646, March-April-2018.