Open AccessHuman identification with dental panoramic radiographic images
Author(s) -
Oktay Ayse Betul
Publication year - 2018
Publication title -
iet biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.434
H-Index - 28
eISSN - 2047-4946
pISSN - 2047-4938
DOI - 10.1049/iet-bmt.2017.0078
Subject(s) - computer science , artificial intelligence , biometrics , identification (biology) , computer vision , radiography , matching (statistics) , probabilistic logic , rank (graph theory) , pattern recognition (psychology) , orthodontics , medicine , mathematics , radiology , pathology , biology , botany , combinatorics
Dental panoramic radiographic images are commonly used as biometrics for human identification. In this study, a novel method is presented for identifying humans by matching 2D panoramic dental X‐ray images. Each tooth is first identified and labeled with support vector machines and probabilistic graphical models. Missing teeth and dental restorations are also detected. Then, matching scores between images are calculated according to tooth‐wise appearance and geometric similarities by taking dental restorations into account. The method is tested on a dataset including 206 dental panoramic X‐ray images of 170 different subjects. The proposed method has 81% rank‐1 accuracy and 89% rank‐2 accuracy.