Towards an Automated Dental Identification System (ADIS)

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

30 Scopus citations


This paper addresses the problem of developing an automated system for postmortem identification using dental records. The Automated Dental Identification System (ADIS) can be used by law enforcement agencies to locate missing persons using databases of dental x-rays. Currently, this search and identification process is carried out manually, which makes it very time-consuming and unreliable. In this paper, we propose architecture for ADIS, we define the functionality of its components, and we briefly describe some of the techniques used in realizing these components.

Original languageEnglish (US)
Pages (from-to)789-796
Number of pages8
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
StatePublished - Dec 1 2004

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


Dive into the research topics of 'Towards an Automated Dental Identification System (ADIS)'. Together they form a unique fingerprint.

Cite this