Combining matching algorithms for human identification using dentral X-ray rediographs

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

5 Citations (Scopus)

Abstract

The goal of forensic dentistry is to identify individuals based on their dental characteristics. In this paper we present a system for identifying individuals from their dental X-ray records. Given a dental record, usually a postmortem (PM) radiograph, the system searches a database of ante mortem (AM) radiographs and retrieves the best matches from the database. The system automatically segments dental X-ray images into individual teeth and extracts representative feature vectors for each tooth, which are later used for retrieval. The system Integrates one method for teeth segmentation, and two different methods for representing and matching teeth. The first matching method represents each tooth contour by signature vectors obtained at salient points on the contour of the tooth. The second method uses Hierarchical Chamfer distance for matching AM and PM teeth to reduce the search space and accordingly reduce the retrieval time. Given a query PM Image, and according to a matching distance, AM radiographs that are most similar to the PM Image, are found and presented to the user using the two matching methods. The experimental results show that the system is robust. We studied the performance of the different modules of the system as well as the results of fusing the matching techniques.

Original languageEnglish
Title of host publicationProceedings - International Conference on Image Processing, ICIP
Volume2
DOIs
StatePublished - Dec 1 2007
Externally publishedYes
Event14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, United States
Duration: Sep 16 2007Sep 19 2007

Other

Other14th IEEE International Conference on Image Processing, ICIP 2007
CountryUnited States
CitySan Antonio, TX
Period9/16/079/19/07

Fingerprint

Dentistry
X rays

Keywords

  • Biometrics
  • Forensic dentistry
  • Fusion

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Nomir, O., & Abdel-Mottaleb, M. (2007). Combining matching algorithms for human identification using dentral X-ray rediographs. In Proceedings - International Conference on Image Processing, ICIP (Vol. 2). [4379179] https://doi.org/10.1109/ICIP.2007.4379179

Combining matching algorithms for human identification using dentral X-ray rediographs. / Nomir, Omaima; Abdel-Mottaleb, Mohamed.

Proceedings - International Conference on Image Processing, ICIP. Vol. 2 2007. 4379179.

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

Nomir, O & Abdel-Mottaleb, M 2007, Combining matching algorithms for human identification using dentral X-ray rediographs. in Proceedings - International Conference on Image Processing, ICIP. vol. 2, 4379179, 14th IEEE International Conference on Image Processing, ICIP 2007, San Antonio, TX, United States, 9/16/07. https://doi.org/10.1109/ICIP.2007.4379179
Nomir O, Abdel-Mottaleb M. Combining matching algorithms for human identification using dentral X-ray rediographs. In Proceedings - International Conference on Image Processing, ICIP. Vol. 2. 2007. 4379179 https://doi.org/10.1109/ICIP.2007.4379179
Nomir, Omaima ; Abdel-Mottaleb, Mohamed. / Combining matching algorithms for human identification using dentral X-ray rediographs. Proceedings - International Conference on Image Processing, ICIP. Vol. 2 2007.
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