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P 88<br />

Title<br />

TOWARDS FuLLy AuTOMATIC DENTAL bASED FORENSIC IDENTIFICATION<br />

Authors<br />

E. DRANISCHNIKOW 1 , E. SCHÖMER 1 , R. SCHuLzE 3 , u. SCHWANECKE 2 , D. bRÜLLMAN 3<br />

Affiliations<br />

1 Johannes Gutenberg-University - Institute of Computer Science, Mainz, GERMANY, 2 University<br />

of Applied Sciences - Dept. of Design, Computer Science and Media, Wiesbaden, GERMANY,<br />

3 University Medical Center of the Johannes Gutenberg-University - Dept. of Oral Surgery,<br />

Mainz, GERMANY<br />

Body<br />

Objectives: Development of a framework, which is able to decide, whether two dental radiographs<br />

display jawbone and teeth of the same person.<br />

Methods: SIFT-features in radiographs were extracted and matched without any interaction by<br />

user. The number of correctly matched features w<strong>as</strong> determined by means of RANSAC and used<br />

for the decision, whether both radiographs belong to the same individual.<br />

Results: In our study this framework w<strong>as</strong> able to detect 46% [51 out of 109] of compatible<br />

radiograph pairs which were identifiable by human experts.<br />

Conclusion: Our method seems promising. An implementation of adapted features detection<br />

algorithms should help to further incre<strong>as</strong>e the sensitivity of the framework.<br />

Keywords<br />

Biometric Identification,Dental Records<br />

POSTerS<br />

203

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