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Abstract: In this paper, a new approach for facial gender classification is presented. The human face serves as a knowledge base for useful demographic information such as gender, expression and age. We can easily identify the gender of the person, but it is difficult for the machine to recognize gender from the face image. The face is a complex three dimensional object and it is a challenging task for a machine to recognise gender due to a wide degree of variations in texture and shape of the face. The gender recognition has many … more Keywords: Face Gender, local directional pattern, Princiapl Coomponets Analysis , Local Binary Pattern Authors: Mr. N. K. Bansode, AIT Prof. Dr. P. K. Sinha, AIT Dates of Issue (DOI) Submission Date: Wed, 27. Apr. 2016 Review Date: Wed, 11. May. 2016 Publishing Date: Wed, 1. Jun. 2016 http://www.icgst.com/paper.aspx?pid=P1151618493