Perceived Gender Classification From Face Images Perceiving
human faces and modeling the distinctive features of human faces
that contribute most towards face recognition are some of the
challenges faced by computer vision and psychophysics
researchers. There are many methods have been proposed in the
literature for the facial features and gender classification.
However, all of them have still disadvantage such as not
complete reflection about face structure, face texture. The
features set is applied to three different applications: face
recognition, facial expressions recognition and gender
classification, which produced the reasonable results in all
database. In this paper described two phases such as feature
extraction phase and classification phase.