Marketing data collection from face images using neural networks

Summary form only given. In the marketing field, it is very useful to collect the customer data of age and gender etc. For gender and age classification, this study focuses on the edge information that consists of all wrinkles in a face and also a neck. A 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 used on a face image database in which are the collected face images of people 15-64 years old. In order to show the effectiveness of the proposed method, computer simulations are carried out using these face images.