Face Age Prediction System

Abstract

Face age prediction system provides the estimated face of an individual with varying age intervals. To predict the face of any person, age plays an important role and the various models are built on the age parameter. Also, growth related shape variations during developmental years are considered for face prediction. The image processing is generally utilized for the face prediction. Anthropometric pieces of evidence gathered from face are used as the core facial features with respect to age. The anthropometric studies are used to describe the facial growth with the help of growth parameters characterized by the facial landmarks. In this work, anthropometric features are extracted from the face of child then after these features are modified using the anthropometric expressions and craniofacial growth model with varying ages. These modified features are compared with the face of the same person at the corresponding age. Applications such as finding the missing people, especially the missing kids, through the available images can be used for forensic face recognition system also. Hence, the objective of the work is to minimize the error between perceived face and the apparent face.