Multi-resolution pyramidal Gabor-eigenface algorithm for face recognition

This paper describes a multi-resolution pyramidal Gabor-eigenface (PGE) algorithm for face recognition. The PGE algorithm employs the eigenface method on the desirable Gabor facial features, which derive from the multi-resolution pyramidal Gabor wavelet (PGW) transform of face images in the spatial domain directly without a Fourier implementation. The use of eigenface method further reduces the redundancy of the images from PGW. The feasibility of the PGE algorithm has been successfully tested on face recognition using AT&T (formally Olivetti) face databases, which contain 400 face images of 40 subjects with variation in poses, facial expression, different viewing direction, and disguises. The effectiveness of the PGE algorithm is shown in terms of better accuracy, faster computational speed and much less computer memory amount.