Abstract
Based on the face orientation, a system for face recognition is designed. BP neural network is used for face orientation recognition and a subnet with a set of single export is replaced with formerly BP neural network to increase the accuracy of face orientation recognition. The face recognition with the principal components analysis based on classification of face orientation shows the accuracy of face recognition is increased.
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