Feed Forward Neural Network – Facial Expression Recognition Using 2D Image Texture

A. Qader, Wisam and S. Anwar, Mohammed and M. Ameen, Musa (2022) Feed Forward Neural Network – Facial Expression Recognition Using 2D Image Texture. Eurasian Journal of Science and Engineering, 8 (1).

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Facial Expression Recognition (FER) is a very active field of study in a wide range of fields such as computer vision, human emotional analyses، pattern recognition and AI. FER has received extensive awareness because it can be employed in human computer interaction (HCI), human emotional analyses, interactive video, image indexing and retrieval. Human facial expression Recognition is one of the most powerful and difficult responsibilities of social communication. Face expressions are, in general terms, natural and direct methods of communicating emotions and intentions for human beings. GWT is applied as a preprocess stage. For the classification of face expressions, this study employs the well-known Feed Forward Propagating Algorithm to create and train a neural network.

Item Type: Article
Uncontrolled Keywords: Feature Extraction, FER (Face Expression Recognition), Classification, GWT
Subjects: Engineering > Computer engineering
Divisions: Eurasian Journal of Science and Engineering > VOL 8, NO 1 (2022)
Depositing User: TIU ePrints Admin
Date Deposited: 18 Oct 2022 08:16
Last Modified: 05 Dec 2022 07:56
URI: http://eprints.tiu.edu.iq/id/eprint/1045

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