Face Recognition Using PCA-BPNN Algorithm

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Provided by: International Journal of Modern Engineering Research (IJMER)
Topic: Security
Format: PDF
Information and communication technologies are increasingly entering in all aspects of the people life and in all sectors, opening a world of unprecedented scenarios where people interact with electronic devices embedded in environments that are sensitive and responsive to the presence of users. In this paper, the authors will explore the concept of facial recognition using back propagating neural networks. Eigenfaces are produced by transforming the pixels in an image to (x; y) coordinates and forming a matrix with the coordinates. The eigenfaces or the principal components of the faces are the eigenvectors of the matrix and it is the eigenvectors. These eigen vectors are given as input to the neural networks which performs the recognition process.
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