Al-Aloosi, Ahmed RaadFarhan, Hameed MutlagNaseri, Raghda Awad ShabanTürkben, Ayça KurnazMustafa, Ahmed KhalidAl-Obadi, Mohammed G.F.2023-06-102023-06-102022Al-Aloosi, A. R., Farhan, H. M., Naseri, R. A. S., Turkben, A. K., Mustafa, A. K., & Al-Obadi, M. G. (2022). Face Recognition System Using Local Binary Pattern with Binary Dragonfly Algorithm to Feature Selection. In 2022 International Conference on Artificial Intelligence of Things (ICAIoT). IEEE.9798350396768https://hdl.handle.net/20.500.12939/3542In this paper, the local binary pattern is used to feature extraction, and the Binary Dragonfly Algorithm (BDA) is exploited to find the optimum features. This is a new methodology for face recognition systems. A proposed face acknowledgment framework was created to be utilized for various purposes. We utilized a local binary pattern for extraction of the important feature of the face that prepares the information and afterward, we utilized BDA to find the best features from feature data. We will execute and assess the proposed strategy on ORL and other datasets with MATLAB 2021a.eninfo:eu-repo/semantics/closedAccessArtificial IntelligenceFace DetectionPrincipal Component AnalysisConference Object2-s2.0-85160544165N/A