Victim identification with dental images using texture and morphological operations

Vijayakumari Pushparaj; Ulaganathan Gurunathan; Banumathi Arumugam

doi:10.1117/1.JEI.23.1.013004

13 January 2014 Victim identification with dental images using texture and morphological operations

Vijayakumari Pushparaj, Ulaganathan Gurunathan, Banumathi Arumugam

Author Affiliations +

Journal of Electronic Imaging, Vol. 23, Issue 1, 013004 (January 2014). https://doi.org/10.1117/1.JEI.23.1.013004

Abstract

Victim identification in mass disasters is a pressing need at present. Since teeth are the most robust parts of the human body and also unique, they can be used as a key component if sufficient dental records are available. This research also aims at dental photographs if there is a nonavailability of radiographs in profusion. In order to reduce the search space, the teeth are initially classified as molar, premolar, and canine using a linear support vector machine and numbered using the universal numbering system. Since the postmortem records are detained for a long span after antemortem records, other issues like missing teeth are considered here. For individual identification, contour information has been proven as a useful measure so far. In addition to contour and skeleton, the texture information of an individual tooth is also incorporated in this paper. The prediction of contour and skeleton using angle and distance parameters is the novelty of this study. The cumulative matching characteristic curve and accuracy curves are plotted to validate the performance of this algorithm. The proposed method identifies the person accurately and signifies that it could give a substantial assistance to forensic odontologist during victim identification.

Citation Download Citation

Vijayakumari Pushparaj, Ulaganathan Gurunathan, and Banumathi Arumugam "Victim identification with dental images using texture and morphological operations," Journal of Electronic Imaging 23(1), 013004 (13 January 2014). https://doi.org/10.1117/1.JEI.23.1.013004

Published: 13 January 2014

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available