Muhammad, Fachrurrozi and Erwin, Erwin and Saparudin, Saparudin and Mardiana, Mardiana (2021) Multi-Object Face Recognition Using Content Based Image Retrieval (CBIR). In: International Conference on Electrical Engineering and Computer Science (ICECOS) 2017.
![[thumbnail of Artikel]](http://repository.unsri.ac.id/style/images/fileicons/text.png) |
Text (Artikel)
Multi-object_face_recognition.pdf - Published Version Download (478kB) |
Abstract
Real-time face recognition system process divided into three steps, feature extraction, clustering, detection, and recognition. Each step uses a different method that is Local Binary Pattern (LBP), Agglomerative Hierarchical Clustering (AHC) and Euclidean Distance. Content Based Image Retrieval (CBIR), an image searching techniques based on image feature, is implemented as the searching method. Based experiments and the testing result, recall and precision values are 65.32% and 64.93% respectively.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. |
| Divisions: | 09-Faculty of Computer Science > 55201-Informatics (S1) |
| Depositing User: | Dr. Muhammad Fachrurrozi |
| Date Deposited: | 05 Apr 2023 12:31 |
| Last Modified: | 05 Apr 2023 12:31 |
| URI: | http://repository.unsri.ac.id/id/eprint/92704 |
Actions (login required)
 |
View Item |