Gender Classification Using Single Frontal Image Per Person: Combination of Appearance and Geometric Based Features

@article{Mozaffari2010GenderCU,
  title={Gender Classification Using Single Frontal Image Per Person: Combination of Appearance and Geometric Based Features},
  author={Saeed Mozaffari and Hamid Behravan and Rohollah Akbari},
  journal={2010 20th International Conference on Pattern Recognition},
  year={2010},
  pages={1192-1195}
}
Today, many social interactions and services depend on gender. In this paper, we introduce a single image gender classification algorithm using combination of appearance-based and geometric-based features. These include Discrete Cosine Transform (DCT), and Local Binary Pattern (LBP), and geometrical distance feature (GDF). The novel feature, GDF proposed in this paper, is inspired from physiological differences between male and female faces. Combination of appearance-based features (DCT and LBP… CONTINUE READING
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