Gender Identification Using SVM Based on Human Face Images

Gender identification is a new domain in image recognition. Gender identification of human face is to judge one´s gender according to his/her face features. The article adopted local binary pattern (LBP) algorithm to build feature subspaces, and processed data using Support Vector Machine (SVM) learning models. Experiments showed that integration of LBP algorithm with linear SVM and integration of LBP algorithm with low-order polynomial SVM are better than Gauss-kernel function.