An Age Estimation Method to Panoramic Radiographs from Indonesian Individuals
Anny Yuniarti, Agus Zainal Arifin, Arya Yudhi Wijaya, Wijayanti Nurul Khotimah
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.
P. Lin, Y. Lai and P. Huang. An Effective Classification and Numbering System for Dental Bitewing Radiographs using Teeth Region and Contour Information. Pattern Recognition Journal. 2010; 1380-1392.
J. Zhou and M. Abdel-Mottaleb. Automatic Human Identification Based on Dental X-ray Images. The SPIE Conference on Defense and Security – Biometric Technology for Human Identification. 2004.
M. Abdel-Mottaleb, O. Nomir, D. Nasser, G. Fahmy and H. Ammar. Challenges of Developing an Automated Dental Identification System. The 64th IEEE Midwest Symposium on Circuits and Systems. Cairo, Egypt. 2004.
S. Singaraju, P. Sharada. Age Estimation using Pulp/Tooth Area Ratio: A Digital Image Analysis. J Forensic Dent Sci [serial online]. 2009; 37-41.
M. Babshet, A. B. Acharya and V. G. Naikmasur. Age Estimation from Pulp/Tooth Area Ratio (PTR) in an Indian Sample: A Preliminary Comparison of Three Mandibular Teeth used Alone and in Combination. Journal of Forensic and Legal Medicine. 2011; 350-354.
H. O. Erbudak, M. Ozbek, S. Uysal and E. Karabulut. Application of Kvaal et al.’s Age Estimation Method to Panoramic Radiographs from Turkish Individuals. Forensic Sci. Int. 2012.
A. Yuniarti, A. Z. Arifin, B. Amaliah and A. S. Nugroho. Teeth Separation and Molar Premolar Classification on Dental Radiographs. Proceeding of the Information Systems International Conference (ISICO). Surabaya, Indonesia. 2011.
A. Yuniarti, A. S. Nugroho, B. Amaliah and A. Z. Arifin. Classification and Numbering of Dental Radiographs for An Automated Human Identification System. Telkomnika Indonesian Journal of Electrical Engineering. 2012; 10(1): 137-146.
Hermawati FA, Koesdijarto R. A Real-Time License Plate Detection System for Parking Access. TELKOMNIKA Indonesian Journal of Electrical Engineering. 2010; 8(2): 97-106.
