Özdil, AhmetÖzbilen, Metin MeteOzhilen, Metin Mete2025-09-252025-09-25201497814799412092378-82322472-8586https://doi.org/10.1109/ICAICT.2014.7035956https://hdl.handle.net/20.500.12573/3163Chevron; EMC2; et al.; itkz; MIKRO Information Handling and Distribution FZE; Thomson ReutersOzdil, Ahmet/0000-0002-6651-1968;The identification of a face from a video or image source is a study of computer vision know as face detection or recognition. Face detection and recognition becomes popular in recent years by the development of computing power. In this study we will present performance aspect of algorithms Eigenfaces, Fisherfaces, and Local Binary Pattern Histograms in different development platforms: Arm and Intel processors. © 2016 Elsevier B.V., All rights reserved.eninfo:eu-repo/semantics/closedAccessEigenfacesEmbeddedFace RecognitionFisherfaceLbphAlgorithmsComputer VisionMicroprocessor ChipsDevelopment PlatformEigenfacesEmbeddedFace Detection and RecognitionFace Recognition AlgorithmsFisherfaceLbphLocal Binary PatternsFace RecognitionConference Object10.1109/ICAICT.2014.70359562-s2.0-84988268373