Facial Expressions Recognition Using Machine Learning Classifiers Based HOG Features

Facial Expression Recognition (FER) is a critical area of research in computer vision and human-computer interaction. This paper presents a comprehensive study on the use of Histogram of Oriented Gradients (HOG) and machine learning algorithms for FER.

Authors

Publication Details

Journal
International Research Journal of Innovations in Engineering and Technology
Published
2025-01-01
DOI
https://doi.org/10.47001/irjiet/2025.905052
Primary Topic
Face and Expression Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

Facial Expressions Recognition Using Machine Learning Classifiers Based HOG Features

Moustafa A. Fadel, Mohammed Chachan Younis
International Research Journal of Innovations in Engineering and Technology
Face and Expression Recognition
article

Facial Expressions Recognition Using Machine Learning Classifiers Based HOG Features

Moustafa A. Fadel, Mohammed Chachan Younis
article en

Abstract

Facial Expression Recognition (FER) is a critical area of research in computer vision and human-computer interaction. This paper presents a comprehensive study on the use of Histogram of Oriented Gradients (HOG) and machine learning algorithms for FER.

International Research Journal of Innovations in Engineering and TechnologyVol. 09(05)
Openalex Percentile: Top 88%
Face and Expression Recognition
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Facial Expressions Recognition Using Machine Learning Classifiers Based HOG Features — Moustafa A. Fadel, Mohammed Chachan Younis · International Research Journal of Innovations in Engineering and Technology (2025) | TGRS Research Map | TGRS