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- W2895880974 abstract "In recent years, the demand for face recognition systems has increased rapidly. Face Detection and Recognition is applied for security purposes, criminal list verification, voter’s identification, biometric attendance and digital cameras etc.Many methods have been developed for reliable and accurate face recognition systems. In past, The frontal, profile, and view-tolerant face recognition was carried out which depends on the kind of imagery and the recognition algorithm used.. In this research paper Back Propagation Algorithm (BPA) and Principal Component Analysis (PCA) have been utilized for face recognition on frontal face images only. The proposed approach consists of three parts i.e. Skin segmentation, Face Detection and Face Recognition. BPA is used for training Neural Network whereas dimension reduction and recognition is carried out using PCA. Using Neural Networks along with PCA enhances the performance of Face Recognition system by reducing the computational complexity." @default.
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- W2895880974 date "2013-11-25" @default.
- W2895880974 modified "2023-09-27" @default.
- W2895880974 title "Face Recognition using Adaptive Neural Network" @default.
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