An Age Estimation Method to Panoramic Radiographs from Indonesian Individuals
Abstract: Dental features can be considered as the best
candidate feature for post-mortem identification. If ante-mortem data is
unavailable, then forensic experts are needed for reducing the search space by
creating post-mortem dental profiling. Age is one of important factors in
dental profiling. Manual inspection of dental radiographs suffers from two
drawbaks, i.e., intraobserver error and interobserver error. This paper
proposed a semi-automatic system for age estimation. There are two phases in
developing the proposed system, i.e., the modeling phase and the estimation
phase. The modeling phase is the stage for deriving an estimation formula based
on known data. In this paper, we use data taken from Javanese people. The
estimation phase include the process of defining a Region of Interest (ROI),
automatic length computation, and age estimation based on the derived modeling
formula. Our experiments showed a promising result, i.e., an average absolute
error of 5.2 years, compared to application of the Kvaal method to panoramic
radiographs from Turkish individuals that yields a difference of more than 12
years.
Author: Anny Yuniarti, Agus
Zainal Arifin, Arya Yudhi Wijaya, Wijayanti Nurul Khotimah
Journal Code: jptkomputergg130039
