The goal of forensic dentistry is to identify people based on their dental records, mainly as radiograph images. In this paper we attempt to set forth the foundations of a biometric system for semi-automatic processing and matching of dental images, with the final goal of human identification. Given a dental record, usually as a postmortem (PM) radiograph, we need to search the database of antemortem (AM) radiographs to determine the identity of the person associated with the PM image. We use a semi-automatic method to extract shapes of the teeth from the AM and PM radiographs, and find the affine transform that best fits the shapes in the PM image to those in the AM images. A ranking of matching scores is generated based on the distance between the AM and PM tooth shapes. Initial experimental results on a small database of radiographs indicate that matching dental images based on tooth shapes and their relative positions is a feasible method for human identification.
[1]
Sharath Pankanti,et al.
Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society
,
1998
.
[2]
Shih-Ping Han.
A globally convergent method for nonlinear programming
,
1975
.
[3]
D. Sweet,et al.
A look at forensic dentistry – Part 1: The role of teeth in the determination of human identity
,
2001
.
[4]
S. Kiliaridis,et al.
Estimation of skeletal bone mineral density by means of the trabecular pattern of the alveolar bone, its interdental thickness, and the bone mass of the mandible.
,
2001,
Oral surgery, oral medicine, oral pathology, oral radiology, and endodontics.
[5]
M G Cavalcanti,et al.
Radiologic interpretation of bone striae: an experimental study in vitro.
,
1999,
Oral surgery, oral medicine, oral pathology, oral radiology, and endodontics.