• Helly Nilesh Shah
• Pranjalee Daxesh Acharya

Face age prediction system is the simulation of prediction of face and face age. To predict the face of any person, age plays an important role and the various models are built on age parameter. Yet, growth-related shape variations during developmental years are considered for face prediction. Image processing is utilized for the face prediction. Anthropometric pieces of evidence gathered from the 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. These age-based models have different useful applications like finding the missing persons, especially in the case of missing kids. In this paper, anthropometric features are extracted from the face of the child. These features are compared with the face of the same person but at different age intervals.

Face prediction, Facial features, Facial landmarks, Anthropometry, Craniofacial growth

"Analysis of facial growth patterns for forensic investigation of missing children", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.1665-1670, July-2018, Available :http://www.jetir.org/papers/JETIRC006287.pdf

"Analysis of facial growth patterns for forensic investigation of missing children", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp1665-1670, July-2018, Available at : http://www.jetir.org/papers/JETIRC006287.pdf