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Real-time Multi-object Face Recognition Using Content Based Image Retrieval (CBIR)

Fachrurrozi, MuhammadSaparudin, SaparudinErwin, ErwinMardiana, MardianaBadillah, Clara FinErlina, JuniaLazuardi, Auzan
International Journal of Electrical and Computer Engineering (IJECE) (Sinta 1)Vol. 0 No. 01 Oktober 2018
DOI10.11591/ijece.v8i5.pp2812-2817

Abstrak

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%.

Kata Kunci

Image ProcessingComputer VisionAHCCBIReuclidean distanceface recognitionLBPmulti-objectreal-time

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Real-time Multi-object Face Recognition Using Content Based Image Retrieval (CBIR) | International Journal of Electrical and Computer Engineering (IJECE) | Publiora