Gender classification of human face images based on adaptive features and support vector machines
Lev Shmaglit, Vladimir V. Khryashchev · Optical Memory and Neural Networks · 2013
An automatic gender recognition algorithm based on machine learning methods is proposed. It consists of two stages: adaptive feature extraction and support vector machine classification. Both training technique of the proposed algorithm and experimental results acquired on a large image dataset are pres ented .