Automatic human identification based on dental X-ray images

Jindan Zhou, Mohamed Abdel-Mottaleb

Research output: Contribution to journalConference articlepeer-review

29 Scopus citations


This paper presents an automated system for human identification using dental radiographs. The goal of the system is to automatically archive dental images and enable identification based on shapes of the teeth in bitewing images. During archiving, the system builds the antemortem (AM) database, where it segments the teeth and the bones, separates each tooth into crown and root, and stores the contours of the teeth in the database. During retrieval, given a dental image of a postmortem (PM), the proposed system identifies the person from the AM database by automatically matching extracted teeth contours from the PM image to the teeth contours in the AM database. Experiments on a small database show that our method is effective for teeth segmentation, separation of teeth into crowns and roots, and matching.

Original languageEnglish (US)
Pages (from-to)373-380
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Dec 1 2004
EventBiometric Technology for Human Identification - Orlando, FL, United States
Duration: Apr 12 2004Apr 13 2004


  • Dental biometrics
  • Forensic Odontology
  • Human Identification
  • Image Segmentation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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