Gender recognition is one of the aspects which is of massive interest for many industries, be it surveillance, biometrics or information gain. As a result of its immense importance, many techniques were proposed in the last years. Different methods have been accessible depending on the benchmark they set for further research in the same area. In this context, this paper gives an overview of the techniques, datasets, and classifiers required to reach the same goal.