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Automated Identification from Dental Data (AutoIDD): A new development in digital forensics.

Gowri Vijay Reesu¹, Brenainn Woodsend¹, Scheila Mânica¹

¹School of Dentistry, University of Dundee, 2 Park Place, Dundee, DD1 4HR, Scotland, United Kingdom.

Forensic Science International

|March 15, 2020

Summary

This study introduces automated 3D dental identification using AutoIDD software, enhancing forensic odontology. The system accurately matches 3D dental scans, aiding in deceased individual identification.

Keywords:

3-Dimensional models Automated Identification Dental data Forensic odontology Intra-oral scans

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Area of Science:

Forensic Odontology
Digital Imaging
Biometrics

Background:

3D dental imaging is increasingly used in forensic odontology.
Automated systems can improve the accuracy and efficiency of dental identification.

Purpose of the Study:

To present a novel method for automated human dental identification using 3D digital dental data.
To evaluate the accuracy of the AutoIDD software in a dental identification scenario.

Main Methods:

Utilized two groups of data: 3D scanned dental models (Group A) and Intra-oral scans (IOS) (Group B).
Generated 'AM' (ante-mortem) and 'PM' (post-mortem) digital data from dental casts and IOS.
Employed 3D image superimposition for comparison and matching using AutoIDD software.

Main Results:

AutoIDD software demonstrated consistent accuracy in differentiating correct matches from non-matches.
Maxillary and mandibular IOS showed high match percentages (64-100% and 81-100%, respectively).
Mean distances for IOS matches were low (0.094 mm and 0.093 mm).

Conclusions:

3D scans combined with the AutoIDD software are feasible for digital forensics.
The automated system can assist forensic experts in identifying deceased individuals using ante-mortem dental records.