Open access Jurnal SINTA 1
Real-time Multi-object Face Recognition Using Content Based Image Retrieval (CBIR)
International Journal of Electrical and Computer Engineering (IJECE) · Vol. 8 No. 5 (2018)
- ISSN
- 2088-8708, 2088-8708
- Published
- 2018-10-01
- Publisher
- Institute of Advanced Engineering and Science
Abstract
Face recognition system in real time is divided into three processes, namely feature extraction, clustering, detection, and recognition. Each of these stages uses different methods, Local Binary Pattern (LBP), Agglomerative Hierarchical Clustering (AHC) and Euclidean Distance. Multi-face image search using Content Based Image Retrieval (CBIR) method. CBIR performs image search by image feature itself. Based on real time trial results, the accuracy value obtained is 61.64%.
Collaboration network of the authors
15 authors · 38 co-authorship links · 7 across different organisations
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- Sriwijaya University
- Lampung University
- University of Technology Malaysia
- 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 |
|---|---|---|
| Wulandari Saputri | Sriwijaya University | 2 |
| Gigih Forda Nama | Lampung University | 1 |
| Ayu Dian Pamungkas | Affiliation unknown | 1 |
| Hery Dian Septama | Lampung University | 1 |
| Meizano Ardhi Muhammad | Lampung University | 1 |
| Wahyu Eko Sulistiono | Lampung University | 1 |
| Gita Paramita Djausal | Lampung University | 1 |
| Ghazali Sulong | University of Technology Malaysia | 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.