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Self-identification of electronically scanned signatures (ESS) and digitally constructed signatures (DCS)

The use of electronic signatures as a form of identification is increasingly common, yet they have been shown to lack the dynamic features found in online signatures. In this study, handwritten signatures were scanned to produce electronically scanned signatures (ESS) which were then digitally alter...

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Detalles Bibliográficos
Autores principales: Kazmierczyk, Zuzanna, Turner, Ian J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9245973/
https://www.ncbi.nlm.nih.gov/pubmed/35784431
http://dx.doi.org/10.1080/20961790.2021.1923167
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author Kazmierczyk, Zuzanna
Turner, Ian J.
author_facet Kazmierczyk, Zuzanna
Turner, Ian J.
author_sort Kazmierczyk, Zuzanna
collection PubMed
description The use of electronic signatures as a form of identification is increasingly common, yet they have been shown to lack the dynamic features found in online signatures. In this study, handwritten signatures were scanned to produce electronically scanned signatures (ESS) which were then digitally altered to produce digitally constructed signatures (DCS). The ESS and DCS were presented back to participants to identify which were genuine. Only 1% of participants correctly identified all signatures, with a mean score of 57.6% identifications. The lack of self-recognition of ESS raises questions on their reliability and usefulness as means of personal identification.
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spelling pubmed-92459732022-07-01 Self-identification of electronically scanned signatures (ESS) and digitally constructed signatures (DCS) Kazmierczyk, Zuzanna Turner, Ian J. Forensic Sci Res Original Articles The use of electronic signatures as a form of identification is increasingly common, yet they have been shown to lack the dynamic features found in online signatures. In this study, handwritten signatures were scanned to produce electronically scanned signatures (ESS) which were then digitally altered to produce digitally constructed signatures (DCS). The ESS and DCS were presented back to participants to identify which were genuine. Only 1% of participants correctly identified all signatures, with a mean score of 57.6% identifications. The lack of self-recognition of ESS raises questions on their reliability and usefulness as means of personal identification. Taylor & Francis 2021-07-05 /pmc/articles/PMC9245973/ /pubmed/35784431 http://dx.doi.org/10.1080/20961790.2021.1923167 Text en © 2021 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 Original Articles
Kazmierczyk, Zuzanna
Turner, Ian J.
Self-identification of electronically scanned signatures (ESS) and digitally constructed signatures (DCS)
title Self-identification of electronically scanned signatures (ESS) and digitally constructed signatures (DCS)
title_full Self-identification of electronically scanned signatures (ESS) and digitally constructed signatures (DCS)
title_fullStr Self-identification of electronically scanned signatures (ESS) and digitally constructed signatures (DCS)
title_full_unstemmed Self-identification of electronically scanned signatures (ESS) and digitally constructed signatures (DCS)
title_short Self-identification of electronically scanned signatures (ESS) and digitally constructed signatures (DCS)
title_sort self-identification of electronically scanned signatures (ess) and digitally constructed signatures (dcs)
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9245973/
https://www.ncbi.nlm.nih.gov/pubmed/35784431
http://dx.doi.org/10.1080/20961790.2021.1923167
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