Face is one of the most important part in human. Arguably, images of hu- man face provide a lot of information such as age, gender, ethnicity, identity, expression...etc. Therefore gender recognition by face is consider one of the ac- tive research area of computer vision; there are huge numbers of applications where gender recognition can be useful, like biometric, authentication, high- tech surveillance, security systems, criminology and augmented reality...etc. Not surprisingly, thus, that a very large number of studies has investigated gender recognition from face perception in humans [1]. Gender recognition is consider as one of the interesting visual task for an ex- tremely social animal like us humans, many social interactions critically depend on the correct gender perceptions. In contrast, as the eld of articial life emerged, researchers began applying principles such as gender recognition to achieve socially interactive robot behavior [2]. Toward to implement a social competence in a humanoid robot, rst task has to be detecting human faces, then recognize and identify more information about detected faces such as gen- der.