دورية أكاديمية
Feed Forward Neural Network – Facial Expression Recognition Using 2D Image Texture
العنوان: | Feed Forward Neural Network – Facial Expression Recognition Using 2D Image Texture |
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المؤلفون: | Wisam A. Qader, Saman Mirza Abdullah, Musa M. Ameen, Muhammed S. Anwar |
المصدر: | Eurasian Journal of Science and Engineering, Vol 8, Iss 1, Pp 216-224 (2022) |
بيانات النشر: | Tishk International University, 2022. |
سنة النشر: | 2022 |
المجموعة: | LCC:Science |
مصطلحات موضوعية: | feature extraction, fer (face expression recognition), classification, gwt, Science |
الوصف: | 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. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2414-5629 2414-5602 |
Relation: | https://eajse.tiu.edu.iq/index.php/volume-8-issue-1-article-19/; https://doaj.org/toc/2414-5629; https://doaj.org/toc/2414-5602 |
DOI: | 10.23918/eajse.v8i1p216 |
URL الوصول: | https://doaj.org/article/3aa03583cd384bcda7210cbd8e08183d |
رقم الأكسشن: | edsdoj.3aa03583cd384bcda7210cbd8e08183d |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 24145629 24145602 |
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DOI: | 10.23918/eajse.v8i1p216 |