Face recognition is one of the most important biometrics which seems to be a good compromise between actuality and social reception and balances security and privacy well. A lot of face recognition algorithms have been developed during the past decades, their modifications which can be further evaluated with wavelet using neural network. This paper represents an analytical study of the previous implemented algorithms like PCA, or Radial Basis Function Network. This paper also discusses the pros and cons of the recognition methods.
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AFR, (Automatic Face recognition, PCA (Principal component analysis), RBFN (radial basis function network).