Multi - Layer Perceptrons Approach to Human Face Recognition
نویسنده
چکیده
This article, presents some results obtained in the face recognition using Multi-Layer Perceptrons (MLP) Neural Networks for classification. Two designs are studied: single network model and multi networks model. The input images are resized, and converted to a vector of pixels before they are applied to the input of the MLP Network. The back propagation algorithm is used to train the MLP network. The best performance achieved with a single neural network is 99.375%.We use a data base of 400 images of 40 individuals which is the ORL (Olivetti Research Laboratory) [1].
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