Multifeature Fusion for Facial Expression Recognition

Patrick Wunake, Leonard Mensah Boante, Matilda Serwaa Wilson, Justice Kwame Appati

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper introduces a novel approach for FER utilizing multifeature fusion based on supervised learning, leveraging the inherent strengths of LBP, HOG, and SIFT descriptors, a combinatorial technique was employed to discern the most efficient fusion methodology. Two fusion strategies were assessed: direct concatenation and the Z-score method, with the latter demonstrating superior computational efficacy. Normalization was introduced, to enhance descriptor performance. Subject-dependent (SD) and subject-independent (SI) were employed; comparative evaluations showcased the accuracy of our approach’s (100%) proficiency on JAFFE, CK+, and FER2013 datasets compared to recent works (99.2%) (Comput Intell Neurosci 2021:1–10). Despite the notable outcomes, the system’s dependency on well-labeled datasets was a limitation. Consequently, future research avenues are suggested to incorporate poorly labeled and unlabeled datasets, facilitating the exploration of less structured datasets. This study paves the way for advancing FER, underscoring the potential of multifeature fusion and the importance of rigorous feature normalization.

Original languageEnglish
Title of host publicationCommunication and Intelligent Systems - Proceedings of ICCIS 2023
EditorsHarish Sharma, Vivek Shrivastava, Ashish Kumar Tripathi, Lipo Wang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages157-168
Number of pages12
ISBN (Print)9789819720521
DOIs
Publication statusPublished - 2024
Event5th International Conference on Communication and Intelligent Systems, ICCIS 2023 - Jaipur
Duration: 16 Dec 202317 Dec 2023

Publication series

NameLecture Notes in Networks and Systems
Volume967 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference5th International Conference on Communication and Intelligent Systems, ICCIS 2023
Country/TerritoryIndia
CityJaipur
Period16/12/2317/12/23

Keywords

  • Descriptors
  • Facial expression
  • Fusion
  • Machine learning
  • Normalization

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