@inproceedings{9ea3496162eb409889bcc5a0a180a2ce,
title = "Cardiac anatomy as a biometric",
abstract = "In this study, we propose a novel biometric signature for human identification based on anatomically unique structures of the left ventricle of the heart. An algorithm is developed that analyzes the 3 primary anatomical structures of the left ventricle: the endocardium, myocardium, and papillary muscles. Comparisons of these analyses between probe and gallery images produces a similarity score that is used as the basis of the biometric. The performance of the algorithm is tested on a cohort of 10 de-identified subjects imaged by Cardiac MRI. Perfect matching between individuals is obtained with good separation between the genuine and impostor classes. In summary, this study demonstrates using anatomy of the left ventricle of the human heart for the purposes of a biometric signature.",
keywords = "Anatomy, Biometric, Cardiac, Left, Ventricle",
author = "Codella, \{Noel C.F.\} and Jonathan Connell and Nalini Ratha and Weinsaft, \{Jonathan W.\}",
year = "2012",
doi = "10.1109/ICIP.2012.6467065",
language = "English",
isbn = "9781467325332",
series = "Proceedings - International Conference on Image Processing, ICIP",
pages = "1137--1140",
booktitle = "2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings",
note = "2012 19th IEEE International Conference on Image Processing, ICIP 2012 ; Conference date: 30-09-2012 Through 03-10-2012",
}