Clusters of Features Using Complementary Information Applied to Gender Classification From Face Images
Face recognition performance by computers has been shown to be more accurate than that of humans.However, a bias with soft-biometrics features has been detected.This bias reduces recognition performance when gender is used.Feature selection for gender classification from face images is a difficult problem since faces contain symmetrical and redunda