A Comparison of Four Classification Algorithms for Facial Expression Recognition

A Comparison of Four Classification Algorithms for Facial Expression Recognition

Facial expression recognition (FER) has achieved an extreme role in research area since the 1990s. This paper provides a comparison approach for FER based on three feature selection methods which are correlation, gain ration, and information gain for determining the most distinguished features of fa...

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Bibliographic Details
Main Authors: Hivi I. Dino, Maiwan B. Abdulrazzaq
Format: Article
Language:English
Published: Erbil Polytechnic University 2020-06-01
Series:Polytechnic Journal
Subjects:
correlation;
facial expression recognition;
feature selection;
gain ratio;
information gain
Online Access:https://polytechnic-journal.epu.edu.iq/home/vol10/iss1/13
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