Forensic human image identification using medical indicators

Diseases not only bring troubles to people’s body functions and mind but also influence the appearances and behaviours of human beings. Similarly, we can analyse the diseases from people’s appearances and behaviours and use the personal medical history for human identification. In this article, medi...

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Detalles Bibliográficos
Autores principales: Zeng, Jinhua, Qiu, Xiulian, Shi, Shaopei, Bian, Xinwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930830/
https://www.ncbi.nlm.nih.gov/pubmed/36817237
http://dx.doi.org/10.1080/20961790.2020.1838252
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author Zeng, Jinhua
Qiu, Xiulian
Shi, Shaopei
Bian, Xinwei
author_facet Zeng, Jinhua
Qiu, Xiulian
Shi, Shaopei
Bian, Xinwei
author_sort Zeng, Jinhua
collection PubMed
description Diseases not only bring troubles to people’s body functions and mind but also influence the appearances and behaviours of human beings. Similarly, we can analyse the diseases from people’s appearances and behaviours and use the personal medical history for human identification. In this article, medical indicators presented in abnormal changes of human appearances and behaviours caused by physiological or psychological diseases were introduced, and were applied in the field of forensic identification of human images, which we called medical forensic identification of human images (mFIHI). The proposed method analysed the people’s medical signs by studying the appearance and behaviour characteristics depicted in images or videos, and made a comparative examination between the medical indicators of the questioned human images and the corresponding signs or medical history of suspects. Through a conformity and difference analysis on medical indicators and their indicated diseases, it would provide an important information for human identification from images or videos. A case study was carried out to demonstrate and verify the feasibility of the proposed method of mFIHI, and our results showed that it would be important contents and angles for forensic expert manual examination in forensic human image identification.
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spelling pubmed-99308302023-02-16 Forensic human image identification using medical indicators Zeng, Jinhua Qiu, Xiulian Shi, Shaopei Bian, Xinwei Forensic Sci Res Case Reports Diseases not only bring troubles to people’s body functions and mind but also influence the appearances and behaviours of human beings. Similarly, we can analyse the diseases from people’s appearances and behaviours and use the personal medical history for human identification. In this article, medical indicators presented in abnormal changes of human appearances and behaviours caused by physiological or psychological diseases were introduced, and were applied in the field of forensic identification of human images, which we called medical forensic identification of human images (mFIHI). The proposed method analysed the people’s medical signs by studying the appearance and behaviour characteristics depicted in images or videos, and made a comparative examination between the medical indicators of the questioned human images and the corresponding signs or medical history of suspects. Through a conformity and difference analysis on medical indicators and their indicated diseases, it would provide an important information for human identification from images or videos. A case study was carried out to demonstrate and verify the feasibility of the proposed method of mFIHI, and our results showed that it would be important contents and angles for forensic expert manual examination in forensic human image identification. Taylor & Francis 2021-01-08 /pmc/articles/PMC9930830/ /pubmed/36817237 http://dx.doi.org/10.1080/20961790.2020.1838252 Text en © 2020 The Author(s). Published by Taylor & Francis Group on behalf of the Academy of Forensic Science. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Case Reports
Zeng, Jinhua
Qiu, Xiulian
Shi, Shaopei
Bian, Xinwei
Forensic human image identification using medical indicators
title Forensic human image identification using medical indicators
title_full Forensic human image identification using medical indicators
title_fullStr Forensic human image identification using medical indicators
title_full_unstemmed Forensic human image identification using medical indicators
title_short Forensic human image identification using medical indicators
title_sort forensic human image identification using medical indicators
topic Case Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930830/
https://www.ncbi.nlm.nih.gov/pubmed/36817237
http://dx.doi.org/10.1080/20961790.2020.1838252
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