Human age-group classification of facial images with subspace projection and support vector machines

In this paper a system is presented for classification of facial images based on facial age estimation. The presented age-group classification system can be used for multimedia forensics where the investigation can be facilitated by automated analysis of large image datasets. Hence, two main features of such systems are usually desired: increased speed of computation and reliability to real-life images. In an attempt to meet these criteria we propose a combination of subspace projection algorithm and a classifier for age group classification. Additionally a face detection algorithm is integrated to ensure detection of faces in complex scenes. The proposed system is implemented as software application and was tested on a large image dataset with real-life capturing conditions.