Hierarchical dental x-ray radiographs matching

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

The goal of forensic dentistry is to identify individuals based on their dental characteristics. In this paper we present a new matching technique for identifying missing, and wanted individuals from their dental X-ray records. Given a dental record, usually a postmortem (PM) radiograph, the proposed technique searches a database of ante mortem (AM) radiographs and retrieves the best matches from the database. The technique is based on matching teeth contours using Hierarchical Chamfer distance. The proposed technique has two main stages: feature extraction, and teeth matching. During retrieval, according to a matching distance between the AM and PM teeth, AM radiographs that are most similar to a given PM image, are found and presented to the user. The experimental results on a database of 162 AM images show that the technique is robust for identifying individuals based on their dental records.

Original languageEnglish (US)
Title of host publication2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
Pages2677-2680
Number of pages4
DOIs
StatePublished - Dec 1 2006
Event2006 IEEE International Conference on Image Processing, ICIP 2006 - Atlanta, GA, United States
Duration: Oct 8 2006Oct 11 2006

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2006 IEEE International Conference on Image Processing, ICIP 2006
CountryUnited States
CityAtlanta, GA
Period10/8/0610/11/06

Keywords

  • Antemortem radiographs
  • Biometrics
  • Forensic dentistry
  • Human identification
  • Postmortem radiographs

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Nomir, O., & Abdel-Mottaleb, M. (2006). Hierarchical dental x-ray radiographs matching. In 2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings (pp. 2677-2680). [4107120] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2006.313061