Challenges of developing an automated dental identification system

Author

Abdel-Mottaleb, Mohamed ; Nomir, Omaima ; Nassar, Diaa Eldin ; Fahmy, Gamal ; Ammar, Hany H.

Author_Institution

Dept. of Electr. & Comput. Eng., Miami Univ., Coral Gables, FL

Volume

1

fYear

2003

fDate

30-30 Dec. 2003

Firstpage

411

Abstract

Law enforcement agencies have been exploiting biometric identifiers for decades as key tools in forensic identification. A biometric identifier has to resist the early decay that affects body tissues. Because of their survivability and diversity, the best candidates for postmortem biometric identification are the dental features. In this paper, we present an overview of ADIS (automated dental identification system). We also present a new fully automated algorithm for identifying people from dental X-ray images as one of ADIS components. The algorithm automatically archives AM (antemortem) dental photographs by extracting teeth shapes and storing them in a database. Given a dental image of a PM (postmortem), the proposed algorithm retrieves the best matches from the database

Keywords

biometrics (access control); dentistry; feature extraction; image recognition; automated dental identification system; biometric identification; biometric identifiers; body tissues; dental X-ray images; dental features; dental photographs; forensic identification; teeth shapes; Biometrics; Dentistry; Forensics; Image databases; Information retrieval; Law enforcement; Resists; Shape; Teeth; X-ray imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2003 IEEE 46th Midwest Symposium on

Conference_Location

Cairo

ISSN

1548-3746

Print_ISBN

0-7803-8294-3

Type

conf

DOI

10.1109/MWSCAS.2003.1562306

Filename

1562306