Abstract: In order to obtain better face features and enhance the recognition rate of algorithm, a face
recognition algorithm based on Gabor feature and projective dictionary pair learing named G-DPL is
proposed in this paper. The local feature of face image are extracted by Gabor wavelet and PCA and LDA
scheme is used to reduce the feature dimension. Projective dictionary pair learning algorithm and
dimensionality reduced Gabor feature are fused to identify the classification. The recognition rate of G-DPL
algorithm can reach 99.00% under ORL database. Feature dimensionality is 39. G-DPL can reach 96.14%
on AR database. Feature dimensionality is 99. The proposed G-DPL algorithm can obtain higher recognition
rate while taking up less space, which has certain reference value for practical application.

Key words: face recognition, Gabor, projective dictionary pair