skip navigation

Justinfo Subscribe to Stay Informed

Add your conference to our Justice Events calendar


NCJRS Abstract


Subscribe to Stay Informed
Want to be in the know? JUSTINFO is a biweekly e-newsletter containing information about new publications, events, training, funding opportunities, and Web-based resources available from the NCJRS Federal sponsors. Sign up to get JUSTINFO in your inbox.

The document referenced below is part of the NCJRS Library collection.
To conduct further searches of the collection, visit the NCJRS Abstracts Database.

How to Obtain Documents
NCJ Number: NCJ 241123     Find in a Library
Title: Neural Network System for Matching Dental Radiographs
Author(s): Diaa Eldin M. Nassar ; Hany H. Ammar
  Journal: Pattern Recognition  Volume:40  Issue:1  Dated:2007  Pages:65 to 79
Date Published: 2007
Page Count: 15
  Annotation: This paper discusses a prototype automated dental identification system for use in postmortem identification.
Abstract: In 1997, an automated dental identification system (ADIS) in conjunction with a digital image repository (DIR) was proposed as a means for use in postmortem identification that would be similar in nature to that of the automated fingerprint identification system (AFIS). This paper presents a prototype ADIS that deals with the problems found in dental image matching. The paper begins with background on two topics closely related to ADIS: image matching and automated postmortem identification systems. This is followed by a discussion of the prototype ADIS. The prototype system carries out identification in two phases: the first phase is a fast, high-recall retrieval system, while the second phase is a high-precision matching system. Each of these phases is discussed in detail in the next section of the paper. The final section of the paper presents the results of training and testing experiments that were carried out represent and verify the micro-decisionmaking stage of the image comparison component of the prototype. The results indicate that the prototype ADIS showed matching accuracy of more than 80 percent. Plans for future research are discussed. Tables, figures, and references
Main Term(s): Forensics/Forensic Sciences
Index Term(s): Evidence identification and analysis ; Forensic medicine ; Dental analysis ; Victim identification ; Real evidence ; Forensic engineering ; NIJ grant-related documents
Sponsoring Agency: National Science Foundation
United States of America

National Institute of Justice (NIJ)
US Department of Justice
Office of Justice Programs
United States of America
Grant Number: 2001-RC-CX-K013;EIA-031079
Type: Research (Applied/Empirical)
Country: United States of America
Language: English
  To cite this abstract, use the following link:

* A link to the full-text document is provided whenever possible. For documents not available online, a link to the publisher's web site is provided.