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Victim identification with dental images using texture and morphological operations

[+] Author Affiliations
Vijayakumari Pushparaj

Thiagarajar College of Engineering, Department of ECE, Madurai 625015, India

Ulaganathan Gurunathan

Best Dental Science College, Department of Oral & Maxillofacial Surgery, Madurai 625015, India

Banumathi Arumugam

Thiagarajar College of Engineering, Department of ECE, Madurai 625015, India

J. Electron. Imaging. 23(1), 013004 (Jan 13, 2014). doi:10.1117/1.JEI.23.1.013004
History: Received June 25, 2013; Revised November 11, 2013; Accepted November 25, 2013
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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.

© 2014 SPIE and IS&T

Topics

Teeth

Citation

Vijayakumari Pushparaj ; Ulaganathan Gurunathan and Banumathi Arumugam
"Victim identification with dental images using texture and morphological operations", J. Electron. Imaging. 23(1), 013004 (Jan 13, 2014). ; http://dx.doi.org/10.1117/1.JEI.23.1.013004


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