Facial recognition using deep learning
| Main Authors: | Saleh, Abdulrazak Yahya; Faculty of Cognitive Science and Human Development, Universiti Malaysia Sarawak, 94300, Sarawak, Malaysia, Rattinami, Kirthanaa A/P Jiva; Faculty of Cognitive Science and Human Development, Universiti Malaysia Sarawak, 94300, Sarawak, Malaysia |
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| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Universitas Ahmad Dahlan
, 2018
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| Subjects: | |
| Online Access: |
http://journal.uad.ac.id/index.php/JIFO/article/view/12742 http://journal.uad.ac.id/index.php/JIFO/article/view/12742/pdf_22 |
Daftar Isi:
- In this article, the researcher presented the results of recognition of four emotional states (happy, sad, angry, and disgust) based on facial expressions. A deep learning method with a Convolutional Neural Network algorithm for recognizing problems has been proven very effective way to overcome the recognition problem. A comparative study is carried out using MUAD3D dataset from Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak for evaluating accuracy performance of this dataset. More discussion is provided to prove the effectiveness of the Convolutional Neural Network in recognition problems.