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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)

DOI
10.11591/ijece.v8i5.pp2812-2817
ISSN
2088-8708, 2088-8708
Published
2018-10-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

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

30 authors · 74 co-authorship links · 10 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Sriwijaya University
  • Lampung University
  • Universitas Halu Oleo
  • 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-authorOrganisationJoint articles
Wulandari SaputriSriwijaya University2
Gigih Forda NamaLampung University1
Ayu Dian PamungkasAffiliation unknown1
Hery Dian SeptamaLampung University1
Meizano Ardhi MuhammadLampung University1
Wahyu Eko SulistionoLampung University1
Gita Paramita DjausalLampung University1
Ghazali SulongUniversity of Technology Malaysia1
La TahangUniversitas Halu Oleo1
La Maronta GalibUniversitas Halu Oleo1
Emawati EmawatiAffiliation unknown1
Annisa DarmawahyuniSriwijaya University1
Samsuryadi SamsuryadiAffiliation unknown1
Rossi PassarellaAffiliation unknown1
Jerrel Adriel Archibald HutahaeanAffiliation unknown1
Deris StiawanSriwijaya University1
Nurhadi NurhadiAffiliation unknown1
Mohd. Yazid IdrisAffiliation unknown1
Muhammad AminUniversitas Halu Oleo1
Rajiman RajimanAffiliation unknown1
Yusup HendronursitoAffiliation unknown1
Sofia W AlisjahbanaAffiliation unknown1
Ilyas SadadAffiliation unknown1

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.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Oct 2026, last seen 8 Nov 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Real-time Multi-object Face Recognition Using Content Based Image Retrieval (CBIR)</dc:title><dc:creator>Fachrurrozi, Muhammad</dc:creator><dc:creator>Saparudin, Saparudin</dc:creator><dc:creator>Erwin, Erwin</dc:creator><dc:creator>Mardiana, Mardiana</dc:creator><dc:creator>Badillah, Clara Fin</dc:creator><dc:creator>Erlina, Junia</dc:creator><dc:creator>Lazuardi, Auzan</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;p&amp;gt;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%. &amp;lt;/p&amp;gt;&amp;lt;p class="Abstract"&amp;gt; &amp;lt;/p&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2018-10-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v8i5.pp2812-2817</dc:identifier><dc:identifier>10.11591/ijece.v8i5.pp2812-2817</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 8 No 5 (2018); 2812</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/9944/10962</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>