Extracting adaptive features for gender classification of human face images
Vladimir V. Khryashchev, Lev Shmaglit, Andrey L. Priorov, Andrey Shemyakov · Programming and Computer Software · 2014
An algorithm for machine recognition of human gender by face images based on machine learning methods is described. The synthesized algorithm consists of two stages, viz. extraction of adaptive features and support vector machine classification. Comparative analysis of operation of the proposed algorithm is performed, and the training and testing technique is given.