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The face recognition task involves extraction of unique features from the human face. Manifold learning methods are proposed to project the original data into a lower dimensional feature space by preserving the local neighborhood structure. LPP should be seen as an alternative to Principal Component Analysis (PCA). When the high dimensional data lies on a low dimensional manifold embedded in the ambient...
In this paper, a biometric system is proposed based on facial features. This proposed system uses an appearance based face recognition method called 2FNN (Two-Feature Neural Network). PCA and LDA are two different feature extraction algorithms used to extract facial features, and then these extracted features are combined using wavelet fusion. The proposed system uses neural networks to classify facial...
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