Abstract: In view of the problems of feature extraction in face recognition, a Log-Gabor and orthogonal supervised Iso-Projection based algorithm for face recognition was proposed in this paper. The proposed algorithm first gets the high-order nonlinear statistical information by calculating the Log-Gabor wavelet representation of face images. Then the orthogonal constrained conditions added to the original optimal problem and the iterative formulae for finding a set of orthogonal optimal projection vectors arc deduced. The orthogonal basis can help to preserve the information of nonlinear sulrmanifold space which is related to distance and reconstruct data. The experimental results on ORL and PIE face database illustrate the effectiveness of the proposed method.

Key words: Sub-space, IsoProj ection, I_og-Gabon Manifold, Orthogonal IsoProj ection, Face recognition