We present a face recognition system capable of recognizing faces in real time from a streaming color video. In this paper, we propose a statistical approach named PCA (Principal component Analysis). This method use the idea of PCA and decompose face images into a small set of characteristic feature images called eigen faces. Recognition is performed by projecting a new face onto a low dimensional linear "face space" defined by the eigen faces. We compute then the distance between the resultant position in the face space and those of known face classes.
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