ANEXPOSITIONANALYSIS OF FACIAL EXPRESSION RECOGNITION TECHNIQUES

Authors

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

DOI:

https://doi.org/10.57041/pjs.v68i3.550

Keywords:

Facial expression recognition, Gabor filters, Local binary patterns, support vector machines

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.

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Published

2023-01-04

How to Cite

A. H. Butt. (2023). ANEXPOSITIONANALYSIS OF FACIAL EXPRESSION RECOGNITION TECHNIQUES. Pakistan Journal of Science, 68(3). https://doi.org/10.57041/pjs.v68i3.550

Issue

Vol. 68 No. 3 (2016): Pakistan Journal of Science

Section

Articles

License

Copyright (c) 2016 Pakistan Journal of Science

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

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