Manuscript Number : IJSRSET1844153
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.
Mohit Gahlot
Feature Extraction, Clustering, Emotion Detection, Histogram Thresholding, Image Segmentation
Publication Details
Published in :
Volume 4 | Issue 4 | March-April 2018 Article Preview
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
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
Journal URL :
https://ijsrset.com/IJSRSET1844153