Face Recognition Using PCA and DCT

Research in the field of face recognition knew considerable progress during these last years. Among the most evoked techniques we find those which employ the optimization of the size of the data in order to get a representation which makes it possible to carry out the recognition. For these methods, the images of faces are seen like points in a space of very great dimensions. The basic idea is to encode the initial data to pass to another space of dimensions much more reduced while preserving as much useful information. This paper presents a hybrid method combining principal components analysis (PCA) and the discrete cosine transform (DCT).