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Emotion Recognition from Facial Expression Using Machine Vision Approach

Author(s)
Muhammad Zubair :Department of Computer Science & IT, The Islamia University of Bahawalpur, Bahawalpur,06300, Pakistan
Aqib Ali Department of Computer Science & IT, The Islamia University of Bahawalpur, Bahawalpur,06300, Pakistan
Samreen Naeem Department of Computer Science & IT, The Islamia University of Bahawalpur, Bahawalpur,06300, Pakistan
Farrukh Jamal Department of Mathematics, Université de Caen, LMNO, Campus II, Science 3, 14032 Caen, France.
Christophe Chesneau : Department of Statistics, Govt S.A Post Graduate College Dera Nawab Sahib,Bahawalpur, 63351,Pakistan
Abstract
In this study emotion-based face expression recognition framework has been proposed using a machine vision (MV) approach. The face emotion dataset has been collected local survey in Bahawalpur city dataset divide into 3 classes happy, sad, and angry. A total of 600 images of size (256 x 256) were transformed into a gray level format and employed a median filter for noise removal. Three nonoverlapping regions of interest (ROIs) of size (50 x 50) have been taken and analyze 1800 (600 x 3) ROIs on the overall dataset. Total 45 Statistical features named as texture, histogram, and binary features were extracted. Select optimize features using the correlationbased feature section technique. The optimized dataset employed of MV classifiers namely random forest (RF), logistic (Lg), and J48 are obtained very promising accuracy 96.33%, 95.67%, and 95.33% respectively.
Publication Details
Page(s) 35-40
DOI DOI not available
Published Journal: Journal of Applied and Emerging Sciences , Volume: 10, Issue: 1, Year: 2020

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Keywords
Emotion, Random Forest, -Machine Vision, Regions of Interest, Face Expression
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