The ADIS must match this pair of x-rays. The teeth match, but the images are flipped [and different how else, if any?].
Credit: Robert M. Howell, DDS
In its most significant challenge, the ADIS must be able to match x-ray pairs in which one image shows the same teeth at a different angle, as in this pair of matching x-rays.
Credit: Robert M. Howell, DDS
By matching bicuspid to bicuspid and filling to filling, forensic investigators use dental records to give a John or Jane Doe a real name. Researchers from West Virginia University, Michigan State University and the University of Miami are combining advanced image-processing techniques with elements of logic to accelerate and improve the accuracy of identity matches.
The researchers are working on an Automated Dental Identification System (ADIS) that will compare a database of dental x-rays with x-rays of an unidentified victim. Currently, the FBI’s National Crime Information Center uses a text-based database with manually coded descriptions of an individual’s teeth and jaw.
Supported by a National Science Foundation Digital Government award, the team is led by West Virginia University computer science professor Hany Ammar and includes professors Robert Howell at West Virginia, Anil Jain at Michigan State and Mohamed Abdel-Mottaleb at Miami, as well as FBI collaborators in the Criminal Justice Information Services division.
David Hart | NSF
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