抽象的

Robust Face Recognition by Using Multidirectional 2DPCA

Shilpi Soni, Raj Kumar Sahu

In this paper a new technique Directional 2DPCA is developed. Face image was firstly rotated to several directional, the directional 2DPCA that can extract features from the matrixes in any direction. In 2DPCA reflects the information in each row but it cannot be uncovered the structural information so in this paper features can extract in any direction. Features were extracted from original face image and it is rotated in six different directions. Then we combine a bank of Directional 2DPCA performed in different directions to develop multidirectional 2DPCA.The results of experiments on ORL datasets show that the proposed method is more effective and achieves higher recognition rate than traditional PCA method.