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Dataset of coded handwriting features for use in statistical modelling
The data presented here is related to the article titled, “Using handwriting to infer a writer's country of origin for forensic intelligence purposes” (Agius et al., 2017) [1]. This article reports original writer, spatial and construction characteristic data for thirty-seven English Australian...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5752089/ https://www.ncbi.nlm.nih.gov/pubmed/29322083 http://dx.doi.org/10.1016/j.dib.2017.12.014 |
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author | Agius, Anna Morelato, Marie Moret, Sébastien Chadwick, Scott Jones, Kylie Epple, Rochelle Brown, James Roux, Claude |
author_facet | Agius, Anna Morelato, Marie Moret, Sébastien Chadwick, Scott Jones, Kylie Epple, Rochelle Brown, James Roux, Claude |
author_sort | Agius, Anna |
collection | PubMed |
description | The data presented here is related to the article titled, “Using handwriting to infer a writer's country of origin for forensic intelligence purposes” (Agius et al., 2017) [1]. This article reports original writer, spatial and construction characteristic data for thirty-seven English Australian writers and thirty-seven Vietnamese writers. All of these characteristics were coded and recorded in Microsoft Excel 2013 (version 15.31). The construction characteristics coded were only extracted from seven characters, which were: ‘g’, ‘h’, ‘th’, ‘M’, ‘0’, ‘7’ and ‘9’. The coded format of the writer, spatial and construction characteristics is made available in this Data in Brief in order to allow others to perform statistical analyses and modelling to investigate whether there is a relationship between the handwriting features and the nationality of the writer, and whether the two nationalities can be differentiated. Furthermore, to employ mathematical techniques that are capable of characterising the extracted features from each participant. |
format | Online Article Text |
id | pubmed-5752089 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-57520892018-01-10 Dataset of coded handwriting features for use in statistical modelling Agius, Anna Morelato, Marie Moret, Sébastien Chadwick, Scott Jones, Kylie Epple, Rochelle Brown, James Roux, Claude Data Brief Medicine and Dentistry The data presented here is related to the article titled, “Using handwriting to infer a writer's country of origin for forensic intelligence purposes” (Agius et al., 2017) [1]. This article reports original writer, spatial and construction characteristic data for thirty-seven English Australian writers and thirty-seven Vietnamese writers. All of these characteristics were coded and recorded in Microsoft Excel 2013 (version 15.31). The construction characteristics coded were only extracted from seven characters, which were: ‘g’, ‘h’, ‘th’, ‘M’, ‘0’, ‘7’ and ‘9’. The coded format of the writer, spatial and construction characteristics is made available in this Data in Brief in order to allow others to perform statistical analyses and modelling to investigate whether there is a relationship between the handwriting features and the nationality of the writer, and whether the two nationalities can be differentiated. Furthermore, to employ mathematical techniques that are capable of characterising the extracted features from each participant. Elsevier 2017-12-13 /pmc/articles/PMC5752089/ /pubmed/29322083 http://dx.doi.org/10.1016/j.dib.2017.12.014 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Medicine and Dentistry Agius, Anna Morelato, Marie Moret, Sébastien Chadwick, Scott Jones, Kylie Epple, Rochelle Brown, James Roux, Claude Dataset of coded handwriting features for use in statistical modelling |
title | Dataset of coded handwriting features for use in statistical modelling |
title_full | Dataset of coded handwriting features for use in statistical modelling |
title_fullStr | Dataset of coded handwriting features for use in statistical modelling |
title_full_unstemmed | Dataset of coded handwriting features for use in statistical modelling |
title_short | Dataset of coded handwriting features for use in statistical modelling |
title_sort | dataset of coded handwriting features for use in statistical modelling |
topic | Medicine and Dentistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5752089/ https://www.ncbi.nlm.nih.gov/pubmed/29322083 http://dx.doi.org/10.1016/j.dib.2017.12.014 |
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