Performance Analysis of Face Recognition by Principal Component Analysis and Feed Forward Neural Network

In face recognition, it is important to select the invariant facial features especially faces with various poses and expression change. This paper presents novel technique for recognizing faces viz. PCA + FFNN. The experiment is performed over FERET faces. This technique gives results with considerable accuracy.