In view of the problems of nonlinear feature extraction in face recognition,an algorithm based on kernel orthogonal local discriminant embedding(KOLDE) for face recognition is proposed in this paper.Firstly,the proposed algorithm gets orthogonal local discriminant embedding(OLDE) algorithm by introducing the orthogonal constraint of basis vectors.Then the OLDE algorithm is expanded to high dimensional feature space by nonlinear mapping in order to deal with dataset of highly nonlinear structure.Finally,the ...