Jurnal SINTA 2
Face Spoofing Detection using Inception-v3 on RGB Modal and Depth Modal
Jurnal Ilmu Komputer dan Informasi (JIKI) · Vol. 16 No. 1 (2023) · pp. 47–57
- ISSN
- 2502-9274, 2088-7051
- Published
- 2023-03-01
- Publisher
- Faculty of Computer Science - Universitas Indonesia
- Language
- eng
Abstract
Face spoofing can provide inaccurate face verification results in the face recognition system. Deep learning has been widely used to solve face spoofing problems. In face spoofing detection, it is unnecessary to use the entire network layer to represent the difference between real and spoof features. This study detects face spoofing by cutting the Inception-v3 network and utilizing RGB modal, depth, and fusion approaches. The results showed that face spoofing detection has a good performance on the RGB and fusion models. Both models have better performance than the depth model because RGB modal can represent the difference between real and spoof features, and RGB modal dominate the fusion model. The RGB model has accuracy, precision, recall, F1-score, and AUC values obtained respectively 98.78%, 99.22%, 99.31.2%, 99.27%, and 0.9997 while the fusion model is 98.5%, 99.31%, 98.88%. 99.09%, and 0.9995, respectively. Our proposed method with cutting the Inception-v3 network to mixed6 successfully outperforms the previous study with accuracy up to 100% using the MSU MFSD benchmark dataset.
Keywords
Collaboration network of the authors
30 authors · 65 co-authorship links · 26 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- University of Indonesia
- Mercu Buana University
- Universitas Gadjah Mada
- University of Reading
- Universitas Stikubank
- RWTH Aachen University
- University of Auckland
- Other organisations
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Ruli Manurung | Affiliation unknown | 2 |
| Ida Nurhaida | Mercu Buana University | 2 |
| Remmy A. M. Zen | Mercu Buana University | 2 |
| Hong Wei | University of Reading | 2 |
| Agus Harjoko | Universitas Gadjah Mada | 2 |
| Edi Winarko | Universitas Gadjah Mada | 2 |
| Edy Winarno | Universitas Stikubank | 2 |
| Edward Citrahadi | Affiliation unknown | 1 |
| Tieta Antaresti | University of Indonesia | 1 |
| Vina Ayumi | Mercu Buana University | 1 |
| L. M. Rasdi Rere | University of Indonesia | 1 |
| Mohamad Ivan Fanany | University of Indonesia | 1 |
| Yohanes Gultom | University of Indonesia | 1 |
| Rian Josua Masikome | RWTH Aachen University | 1 |
| Muhamad Soleh | University of Indonesia | 1 |
| Sesa Wiguna | University of Auckland | 1 |
| Hans Timothy Wijaya | University of Indonesia | 1 |
| Juan Thomas Wijaya | University of Indonesia | 1 |
| Yohanes Fridolin Hestrio | University of Indonesia | 1 |
| Bayu Satria Persada | University of Indonesia | 1 |
| Frederic Morado Saragih | University of Indonesia | 1 |
| Muhammad Yusuf Kardawi | University of Indonesia | 1 |
| Wisnu Aryo Jatmiko | University of Indonesia | 1 |
| Herwanto Herwanto | Affiliation unknown | 1 |
| Achmad Nizar Hidayanto | University of Indonesia | 1 |
| Hisyam Fahmi | Universitas Islam Negeri Maulana Malik Ibrahim | 1 |
| Devi Fitrianah | Mercu Buana University | 1 |
| Pang‐Ning Tan | Michigan State University | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.