In this paper, the performances of appearance-based statistical method called Principal Component Analysis (PCA) is tested for the recognition of face images. Principal Component Analysis is most successful technique to recognize faces. PCA performs well when the size of the database is small. Mathematical formulation of eigenface calculation and PCA algorithm is discussed. The training set with 9 images with N x N size is tested. Results of experiment are also presented. The coding is implemented on MATLAB software and also on GUI (Graphic User Interface).
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