Face recognition for different facial exprisions based on pca, lda analysis
The face is our primary focus of attention in social intercourse, playing a major role in identity. We can recognize thousands of faces in our lifetime and identify familiar faces at glance even after years of separation but it is difficult for computer compared with the human brain. In this paper presents comparative study of PCA (Principal Components Analysis) and LDA (Linear Discriminant Analysis) which are most popular appearance-based approaches in face recognition. PCA is recognized as an optimal method to perform dimension reduction.