ANEXPOSITIONANALYSIS OF FACIAL EXPRESSION RECOGNITION TECHNIQUES

A. H. Butt; M. K Mahmood; Y D Khan

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ANEXPOSITIONANALYSIS OF FACIAL EXPRESSION RECOGNITION TECHNIQUES

Author(s)

A. H. Butt Department of Computer Science, School of Science and Technology, University of Management and Technology,Lahore, Pakistan

M. K Mahmood Department of Mathematics, University of the Punjab,Lahore, Pakistan

Y D Khan Department of Computer Science, School of Science and Technology, University of Management and Technology,Lahore, Pakistan

Abstract

This studycompared the technique such as Gabor-wavelet filter banks and Local Binary Patterns (LBP) that were commonly used for facial expression recognition.Broad experimental phases were designed to analyze the accuracy and efficiency of each state of art techniques regarding facial expression recognition. A close analysis of the Receiver Operating Characteristics (ROC) and overall accuracy of the results for well-known facial databasesrevealedthat the LBPbased extraction of facial expression features was the most efficient and effective technique.

Publication Details

Page(s) 357-365

DOI DOI not available

Published Journal: Pakistan Journal of Science, Volume: 68, Issue: 3, Year: 2016

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Keywords

Facial expression recognition, Gabor filters, Local binary patterns