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
  • M.K. Mahmood Department of Mathematics, University of the Punjab, Lahore
  • Y.D. Khan Department of Computer Science, University of Management and Technology, Lahore

DOI:

https://doi.org/10.57041/vol68iss3pp357-365

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

2016-09-01

Issue

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

Section

Articles

License

Copyright (c) 2016 Pakistan Journal of Science

Creative Commons License

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

How to Cite

ANEXPOSITIONANALYSIS OF FACIAL EXPRESSION RECOGNITION TECHNIQUES. (2016). Pakistan Journal of Science, 68(3), 357-365. https://doi.org/10.57041/vol68iss3pp357-365