Effective Approach of Finding Missing Children Using Face Age Progressed Prediction Method Anagha Yogesh Nehete and Krishna K. Warhade Abstract An improved way of finding missing children is presented in the paper. It is very dif ficult, time consuming, tedious, and least ef ficient 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 ef ficiency. 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 pre- diction is the recent upcoming research field which is used to study and decode these facial transfigurations ef ficiently. 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. Keywords Face age progression prediction Á Feature extraction Aging database Á Mahalanobis distance Á Basic fitting tool 1 Introduction Kidnapping is so far the highest reported crime against children. In India, child goes missing in every 8 min, as per survey by the National Crime Records Bureau, India. The most significant application of face prediction is finding a person who went missing for a long time [1]. Face age progression prediction (FAPP) is entirely A.Y. Nehete (&) Á K.K. Warhade MIT College of Engineering, Pune, India e-mail: anagha2605@gmail.com K.K. Warhade e-mail: krishna.warhade@mitcoe.edu.in © Springer Nature Singapore Pte Ltd. 2018 H.S. Saini et al. (eds.), Innovations in Electronics and Communication Engineering, Lecture Notes in Networks and Systems 7, https://doi.org/10.1007/978-981-10-3812-9_29 279