Title :
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
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;
Conference_Titel :
Circuits and Systems, 2003 IEEE 46th Midwest Symposium on
Conference_Location :
Cairo
Print_ISBN :
0-7803-8294-3
DOI :
10.1109/MWSCAS.2003.1562306
