Feature Extraction For Emotion Detection

Authors(3) :-Mohit Gahlot, Mayank Dhinrga, Garima Sharma

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.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 4 | Issue 4 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 641-646
Manuscript Number : IJSRSET1844153
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

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.
Journal URL : http://ijsrset.com/IJSRSET1844153

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