ABSTRACT
Automated age estimation is an important processing task that serves many purposes such as surveillance monitoring, marketing of products, authentication systems, find out the fugitive or missing person and security control etc. Therefore, estimating age from still face images by using facial features is trending research topic from past few years. An automated age group prediction system using geometric features of facial images and neural network is proposed in this paper. Three age groups including child, young, and old, are considered in the classification system. The prediction process is divided into three phases: image accumulation from different real-life photo or website, geometric feature extraction using image processing technique, and age classification using Neural Network. Using this process, we can predict the age group of a face of a person with satisfactory accuracy.
