Gender Face Classification Using Color Image Discrimination Model

Abstract: The biometric schemes are commonly used for the identification of human beings. Face recognition is one of the biometric methods, to identify given face image using main features of the face. The objective of face recognition involves the extraction of different features of the human face from the face image for discriminating it from other persons. To seek a meaningful representation and an effective recognition method of color images in a unified framework, color image representation and recognition is integrated into one discriminant analysis model: color image discriminant (CID) model. The two sets of variables can be determined optimally and simultaneously by the CID algorithms. Gender is an important demographic attribute of people. An Basic CID algorithm with two class recognition problem is for gender classification.

Keywords: Color image discriminant (CID) color space, face recognition, color images, gender classification.