Face Recognition Using Eigen faces By ANN with Resilient Back propagation Algorithm
نویسنده
چکیده
Faces represent complex, multidimensional, meaningful visual stimuli and developing a computational model for face recognition is difficult [1]. In this paper we propose a new approach to detect the human faces quickly and efficiently by using Eigen faces technique along with ANN using resilient back propagation algorithm. In this process the face structure can be converted into Eigen values. The eigenfaces including implemented Jacobi’s method for eigenvalues and eigenvectors has been performed. And all the trained database images are learned by using proposed approach. Now test the original image given as input to the network, it detects the face of human quickly and more efficiently than previously existing techniques.
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