Age and Gender Classification from Face Images using Neural Networks

M. Nakano, F. Yasukata, and M. Fukumi (Japan)


Age classification, Gender classification, Edge information, Neural networks


For age and gender classification, this study focuses on the edge information that consists of all wrinkles in a face and also a neck. Density histogram in which the value of the edge intensity of the vertical direction and the horizontal direction in an image is greater than a threshold value is computed by using the edge information. They are treated as input data to a neural network. This classification is tried toward the face image database which collected face im ages of 15-64 years old. In order to show the effectiveness of the proposed method, computer simulations are carried out using these real images.

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