Multi-scale Local Binary Pattern histogram for gender classification

LBP (Local Binary Pattern) is a commonly used operator to extract LBPH (LBP histogram) of an image for local texture description. For gender classification, we proposed an innovative method by extracting multi-scale LBPH in DoG (Difference of Gaussian) space in this paper. Given a facial image, we firstly preprocess it meticulously to avert the local variations of images which probably be caused by expression, pose and so on. And then we extract multi-scale LBPH features in DoG space which can extract richer local and global interested information of the facial image. Gender classification is performed via a standard binary classifier: SVM. We conducted experiment on 2,410 FERET images and 1,100 images of our collected dataset from the Internet. The best performance of 97.7% is achieved, and the method also performs robustly.