Regular Articles

Toward an automated dental identification system

[+] Author Affiliations
Gamal Fahmy

West Virginia University, Department of Computer Science and Electrical Engineering, Morgantown, West Virginia 26506

Diaa Nassar

West Virginia University, Department of Computer Science and Electrical Engineering, Morgantown, West Virginia 26506

Eyad Haj-Said

West Virginia University, Department of Computer Science and Electrical Engineering, Morgantown, West Virginia 26506

Hong Chen

Michigan State University, Computer Science and Engineering Department, East Lansing, Michigan 48823

Omaima Nomir

University of Miami, Electrical and Computer Engineering Department, Miami, Florida 33146

Jindan Zhou

University of Miami, Electrical and Computer Engineering Department, Miami, Florida 33146

Robert Howell

West Virginia University, Department of Computer Science and Electrical Engineering, Morgantown, West Virginia 26506

Hany H. Ammar

West Virginia University, Department of Computer Science and Electrical Engineering, Morgantown, West Virginia 26506

Mohamed Abdel-Mottaleb

University of Miami, Electrical and Computer Engineering Department, Miami, Florida 33146

Anil K. Jain

Michigan State University, Computer Science and Engineering Department, East Lansing, Michigan 48823

J. Electron. Imaging. 14(4), 043018 (December 01, 2005). doi:10.1117/1.2135310
History: Received July 10, 2004; Revised April 07, 2005; Accepted April 18, 2005; Published December 01, 2005; Online December 01, 2005
Text Size: A A A

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.

© 2005 SPIE and IS&T

Topics

Databases ; Teeth

Citation

Gamal Fahmy ; Diaa Nassar ; Eyad Haj-Said ; Hong Chen ; Omaima Nomir, et al.
"Toward an automated dental identification system", J. Electron. Imaging. 14(4), 043018 (December 01, 2005). ; http://dx.doi.org/10.1117/1.2135310


Tables

Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.