Automated Dental Identification System

Human identification Using

Dental Radiographs

Che-Nan Taict2150@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 System

Automated Dental Identification System Feature extraction

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 alignmentFind a T that is the best alignment between the transformed query and the database shape

Automated Dental Identification System Contour alignment

Reference:1. 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.