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Development of individual identification method using thoracic vertebral features as biometric fingerprints
Identification of individuals is performed when a corpse is found after a natural disaster, incident, or accident. DNA and dental records are frequently used as biometric fingerprints; however, identification may be difficult in some cases due to decomposition or damage to the corpse. The present st...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9522789/ https://www.ncbi.nlm.nih.gov/pubmed/36175477 http://dx.doi.org/10.1038/s41598-022-20748-w |
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author | Sato, Mitsuru Kondo, Yohan Okamoto, Masashi Takahashi, Naoya |
author_facet | Sato, Mitsuru Kondo, Yohan Okamoto, Masashi Takahashi, Naoya |
author_sort | Sato, Mitsuru |
collection | PubMed |
description | Identification of individuals is performed when a corpse is found after a natural disaster, incident, or accident. DNA and dental records are frequently used as biometric fingerprints; however, identification may be difficult in some cases due to decomposition or damage to the corpse. The present study aimed to develop an individual identification method using thoracic vertebral features as a biological fingerprint. In this method, the shortest diameter in height, width, and depth of the thoracic vertebrae in the postmortem image and a control antemortem were recorded and a database was compiled using this information. The Euclidean distance or the modified Hausdorff distance was calculated as the distance between two points on the three-dimensional feature space of these measurement data. The thoracic vertebrae T1-12 were measured and the pair with the smallest distance was considered to be from the same person. The accuracy of this method for identifying individuals was evaluated by matching images of 82 cases from a total of 702 antemortem images and showed a hit ratio of 100%. Therefore, this method may be used to identify individuals with high accuracy. |
format | Online Article Text |
id | pubmed-9522789 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95227892022-10-01 Development of individual identification method using thoracic vertebral features as biometric fingerprints Sato, Mitsuru Kondo, Yohan Okamoto, Masashi Takahashi, Naoya Sci Rep Article Identification of individuals is performed when a corpse is found after a natural disaster, incident, or accident. DNA and dental records are frequently used as biometric fingerprints; however, identification may be difficult in some cases due to decomposition or damage to the corpse. The present study aimed to develop an individual identification method using thoracic vertebral features as a biological fingerprint. In this method, the shortest diameter in height, width, and depth of the thoracic vertebrae in the postmortem image and a control antemortem were recorded and a database was compiled using this information. The Euclidean distance or the modified Hausdorff distance was calculated as the distance between two points on the three-dimensional feature space of these measurement data. The thoracic vertebrae T1-12 were measured and the pair with the smallest distance was considered to be from the same person. The accuracy of this method for identifying individuals was evaluated by matching images of 82 cases from a total of 702 antemortem images and showed a hit ratio of 100%. Therefore, this method may be used to identify individuals with high accuracy. Nature Publishing Group UK 2022-09-29 /pmc/articles/PMC9522789/ /pubmed/36175477 http://dx.doi.org/10.1038/s41598-022-20748-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Sato, Mitsuru Kondo, Yohan Okamoto, Masashi Takahashi, Naoya Development of individual identification method using thoracic vertebral features as biometric fingerprints |
title | Development of individual identification method using thoracic vertebral features as biometric fingerprints |
title_full | Development of individual identification method using thoracic vertebral features as biometric fingerprints |
title_fullStr | Development of individual identification method using thoracic vertebral features as biometric fingerprints |
title_full_unstemmed | Development of individual identification method using thoracic vertebral features as biometric fingerprints |
title_short | Development of individual identification method using thoracic vertebral features as biometric fingerprints |
title_sort | development of individual identification method using thoracic vertebral features as biometric fingerprints |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9522789/ https://www.ncbi.nlm.nih.gov/pubmed/36175477 http://dx.doi.org/10.1038/s41598-022-20748-w |
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