Abstract: Recognition of most facial variation like shape texture based on different algorithm estimate the automatic estimation of age, gender and race of a person from his face image, which has many applications automatic age estimation can prevent minor from purchasing alcohol or cigarate from vending machine. In Automatic demographic estimation, age estimation remains a complicated problem because of the persons belonging to the same group can be different in their facial appearances due to some of the internal and external factors. In this paper, we demonstrate that a generic framework for automatic demographic estimation of age, gender and race. Given a face image, we ?rst extract demographic informative features via a different boost algorithm, and then employ a hierarchical approach consisting of between-group classi?cation, and within-group regression. Quality assessment is also developed to identify low-quality face images that are dif?cult to obtain reliable demographic estimates.
Keywords: Demographic estimation, hierarchical approach age estimation.