Human age estimation using AGES pattern

Age Simulation and Age Specific Human Computer Interaction (ASHCI) has a vital role in real life applications. Still automatic age estimation is a field which comprises of less research and is in developing state. The reason behind is that aging is an unique process which varies from person-to-person. The basic aim of this paper is to develop a user friendly system that estimates accurate age of an individual. In this paper age of an individual is estimated with the help of AGES pattern (Aging Pattern Subspace). The main aim is to generate aging pattern on which further enhancement is done applying PCA and computing minimum error rate. A good aging pattern can be generated with the help of proper projection in the subspace to get revised and appropriate face images. AGES has shown promising results when implemented and a very user friendly method.