Erlina, Junia
Unknown Affiliation

Published : 1 Documents

Found 1 Documents

REAL-TIME MULTI-OBJECT FACE RECOGNITION USING CONTENT BASED IMAGE RETRIEVAL (CBIR) Fachrurrozi, Muhammad; Saparudin, Saparudin; Erwin, Erwin; Mardiana, Mardiana; Badillah, Clara Fin; Erlina, Junia; Lazuardi, Auzan
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 5: October 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (269.606 KB) | DOI: 10.11591/ijece.v8i5.pp2812-2817


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%.