Human face recognition using PCA based Genetic Algorithm

This paper illustrates an approach to recognize a face using Principal Components Analysis based Genetic Algorithm in the area of computer vision. Facial image analysis plays an important role for human computer interaction, although automatic face recognition is still a big challenge for many applications. The PCA is applied to extract features from images with the help of covariance analysis to generate Eigen components of the images and reduce the dimensionality. Genetic Algorithm is an optimization technique which gives the optimal solutions from the generated large search space. For our experiment we used Japanese Female Facial Expression (JAFFE) face database with an encouraging result approximately 96%.