Toward an automated dental identification system

Gamal Fahmy, Diaa Nassar, Eyad Haj-Said, Hong Chen, Omaima Nomir, Jindan Zhou, Robert Howell, Hany H. Ammar, Mohamed Abdel-Mottaleb, Anil K. Jain

Research output: Contribution to journalArticlepeer-review

34 Scopus citations


Forensic odontology has long been carried out by forensic experts of law enforcement agencies for postmortem identification. We address the problem of developing an automated system for postmortem identification using dental records (dental radiographs). This automated dental identification system (ADIS) can be used by law enforcement agencies as well as military agencies throughout the United States to locate missing persons using databases of dental x rays of human remains and dental scans of missing or wanted persons. Currently, this search and identification process is carried out manually, which makes it very time-consuming in mass disasters. We propose a novel architecture for ADIS, define the functionality of its components, and describe the techniques used in realizing these components. We also present the performance of each of these components using a database of dental images.

Original languageEnglish (US)
Article number043018
JournalJournal of Electronic Imaging
Issue number4
StatePublished - Oct 2005

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Computer Science Applications
  • Electrical and Electronic Engineering


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