An improved way of finding missing children is presented in the paper. It is very difficult, time consuming, tedious, and least efficient method to find missing children through traditional methodologies. Using the advanced method, the factor of facial transfiguration of a child is considered with increases the search efficiency. Large numbers of missing children cases are registered in their young age. These lost or kidnapped or missing children undergo huge facial transformation caused by several external, internal, and biological factors. Human face age progressed prediction is the recent upcoming research field which is used to study and decode these facial transfigurations efficiently. The facial image is being fragmented into parts to increase the granularity of face prediction with age progression. The growth curve of feature is used to predict the shape, size, and location of each and every feature at a different age. Hence, this increases the success rate of finding missing child. Various algorithms and image processing techniques are used to carry out this study. This paper aims at finding missing children with the most effective computational method. © 2018, Springer Nature Singapore Pte Ltd.