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Automated Dental Identification System Human identification Using Dental Radiographs Che-Nan Tai ct2150@columbia.edu. Automated Dental Identification System. Purpose: To identify the missing or unidentified person Architecture: 1. Potential matches search component
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Automated Dental Identification System Human identification Using Dental Radiographs Che-Nan Tai ct2150@columbia.edu
Automated Dental Identification System Purpose: To identify the missing or unidentified person Architecture: 1. Potential matches search component 2. Image Comparison component 3. The Digital Image Repository
Automated Dental Identification System • Postmortem (PM) radiograph • Antemortem (AM) radiograph • Crown and Root
Automated Dental Identification SystemRadiograph segmentation • To segment the radiograph into blocks Gap valley detection To separate the upper and lower jaw Tooth isolation Find the valley between the neighboring teeth
Automated Dental Identification SystemRadiograph segmentation
Automated Dental Identification SystemContour extraction • Crown shape extraction
Automated Dental Identification SystemContour extraction • Root shape extraction find the root contour that maximizes the difference between inner intensity and outer intensity
Automated Dental Identification SystemShape matching • Matching Distance Q: query image, D: database image, T: rigid transformation • Contour alignment Find a T that is the best alignment between the transformed query and the database shape
Reference: • Gamal Fahmy, Diaa Eldin M. Nassar, Eyad Haj-Said, Hong Chen, Omima Nomir, Jindan Zhou, Robert Howell, Hany H. Ammar, Mohamed Abdel-Mottaleb and Anil K. Jain, “Automated Dental Idetification System”, http://www.csee.wvu.edu/adis/ 2. Anil K. Jain, Hong Chen, “Matching of dental X-ray images for human identification”, Journal of Pattern Recognition, 37 (2004) 1519-1532.