DocumentCode
1574804
Title
Hierarchical Dental X-Ray Radiographs Matching
Author
Nomir, O. ; Abdel-Mottaleb, Mohamed
Author_Institution
Dept. of Electr. & Comput. Eng., Miami Univ., Coral Gables, FL, USA
fYear
2006
Firstpage
2677
Lastpage
2680
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.
Keywords
biometrics (access control); dentistry; diagnostic radiography; feature extraction; image matching; image retrieval; medical image processing; visual databases; ante mortem radiograph database; feature extraction; forensic dentistry; hierarchical Chamfer distance; hierarchical dental X-ray radiograph matching; human identification; information retrieval; postmortem radiograph; teeth contours; Dentistry; Feature extraction; Forensics; Image databases; Image retrieval; Information retrieval; Radiography; Robustness; Spatial databases; Teeth; Forensic dentistry; antemortem radiographs; biometrics; human identification; postmortem radiographs;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2006 IEEE International Conference on
Conference_Location
Atlanta, GA
ISSN
1522-4880
Print_ISBN
1-4244-0480-0
Type
conf
DOI
10.1109/ICIP.2006.313061
Filename
4107120
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