Open AccessCadaver identification with dental radiographs using isoperimetric and nodal graph approach
Author(s) -
Vijayakumari Balan,
Kirubalini Ramasubramania Raja,
Manisha Centhil Raj
Publication year - 2020
Publication title -
iet biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.434
H-Index - 28
ISSN - 2047-4946
DOI - 10.1049/iet-bmt.2019.0064
Subject(s) - computer science , biometrics , graph , cadaver , radiography , artificial intelligence , computer vision , theoretical computer science , anatomy , medicine , radiology
Biometrics in general allows a person to be identified and authenticated based on a set of recognisable and verifiable data, which are unique and specific to the human. In this study a dental biometric technique is presented based on dental radiographs. This method is to authenticate cadaver correctly and identify them properly based on dental information as teeth are very resistant to modest force effects and high temperatures and also possess good biometric properties. The dental radiographs are pre‐processed and the required dental data is obtained by edge detection using isoperimetric algorithm. The obtained data from the query image is matched with the database image and the best match is obtained for authentication. In this study, a novel method is presented in which the tooth is also represented in the form of a nodal graph and the final matching with database is done with both shape information and nodal graphs obtained. The hit rate obtained is comparable to the existing algorithms.