Research of automatic face recognition based on ICA

A combined method for automatic face recognition with both independent comp onent analysis (ICA) and genetic algorithms (GA) was proposed. The fourth-o rder blind identification (FOBI) algorithm was used to derive the independe nt sources out of the face images. To decrease the computing complexity, th e dimension of the original image was reduced and GA was applied to the sou rces set to get an optimal subset of it. Faces can be recognized by classif ying the coefficients of the face image projecting to the independent bases . The experiments in the face database show both a higher recognition rate than the eigenface method based on PCA and a lower computing complexity tha n the traditional ICA face recognition method.