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Cloud authentication based face recognition technique
(Altınbaş Üniversitesi, 2019) Alrahlawee, Anfal Thaer; Duru, Adil Deniz; Bayat, Oğuz; Uçan, Osman Nuri
The recognition process for a single face can be completed in relatively less time. However, large scale implementation that involves recognition of several faces would make the procedure a lengthy one. Cloud computing service has been employed in this paper to provide a solution for scalability, where cloud computing increases the essential resources when larger data is to be processed. The programming and training of the developed system has been done in order to detect and recognize faces through cloud computing. Viola and Jones algorithm is employed for detecting faces that used integral image, cascaded classifiers, five sorts of Haar-like features, and Adaboost learning method. Face recognition has been done using Linear Discriminant Analysis (LDA), as it is more efficient compared to Principal Component Analysis (PCA) algorithm. Several MUCT database images have been used for assessing the performance of system.