Face recognition using hybrid feature
Hongtao Su, D.-D. Feng, Xiuying Wang, Rongchun Zhao · 2004
In this paper, a face recognition algorithm using hybrid feature is proposed. The algorithm consists of three steps. In the first step, a coarse classification is performed using Mutual Information match. In the second step, the Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) features of frequency spectrum are extracted, which will be taken as the input of the RBFN in the third step. In the last step, the classification is carried out by using RBFN. The proposed approach has been tested on ORL face database and Shimon database. The experimental results have demonstrated that the performance of this algorithm is superior to the other algorithms on the same database.