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Evaluation of Decision Fusion Methods for Multimodal Biometrics in the Banking Application
An evaluation of decision fusion methods based on Dempster-Shafer Theory (DST) and its modifications is presented in the article, studied over real biometric data from the engineered multimodal banking client verification system. First, the approaches for multimodal biometric data fusion for verific...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8951111/ https://www.ncbi.nlm.nih.gov/pubmed/35336526 http://dx.doi.org/10.3390/s22062356 |
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author | Szczuko, Piotr Harasimiuk, Arkadiusz Czyżewski, Andrzej |
author_facet | Szczuko, Piotr Harasimiuk, Arkadiusz Czyżewski, Andrzej |
author_sort | Szczuko, Piotr |
collection | PubMed |
description | An evaluation of decision fusion methods based on Dempster-Shafer Theory (DST) and its modifications is presented in the article, studied over real biometric data from the engineered multimodal banking client verification system. First, the approaches for multimodal biometric data fusion for verification are explained. Then the proposed implementation of comparison scores fusion is presented, including details on the application of DST, required modifications, base probability, and mass conversions. Next, the biometric verification process is described, and the engineered biometric banking system principles are provided. Finally, the validation results of three fusion approaches on synthetic and real data are presented and discussed, considering the desired outcome manifested by minimized false non-match rates for various assumed thresholds and biometric verification techniques. |
format | Online Article Text |
id | pubmed-8951111 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89511112022-03-26 Evaluation of Decision Fusion Methods for Multimodal Biometrics in the Banking Application Szczuko, Piotr Harasimiuk, Arkadiusz Czyżewski, Andrzej Sensors (Basel) Article An evaluation of decision fusion methods based on Dempster-Shafer Theory (DST) and its modifications is presented in the article, studied over real biometric data from the engineered multimodal banking client verification system. First, the approaches for multimodal biometric data fusion for verification are explained. Then the proposed implementation of comparison scores fusion is presented, including details on the application of DST, required modifications, base probability, and mass conversions. Next, the biometric verification process is described, and the engineered biometric banking system principles are provided. Finally, the validation results of three fusion approaches on synthetic and real data are presented and discussed, considering the desired outcome manifested by minimized false non-match rates for various assumed thresholds and biometric verification techniques. MDPI 2022-03-18 /pmc/articles/PMC8951111/ /pubmed/35336526 http://dx.doi.org/10.3390/s22062356 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Szczuko, Piotr Harasimiuk, Arkadiusz Czyżewski, Andrzej Evaluation of Decision Fusion Methods for Multimodal Biometrics in the Banking Application |
title | Evaluation of Decision Fusion Methods for Multimodal Biometrics in the Banking Application |
title_full | Evaluation of Decision Fusion Methods for Multimodal Biometrics in the Banking Application |
title_fullStr | Evaluation of Decision Fusion Methods for Multimodal Biometrics in the Banking Application |
title_full_unstemmed | Evaluation of Decision Fusion Methods for Multimodal Biometrics in the Banking Application |
title_short | Evaluation of Decision Fusion Methods for Multimodal Biometrics in the Banking Application |
title_sort | evaluation of decision fusion methods for multimodal biometrics in the banking application |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8951111/ https://www.ncbi.nlm.nih.gov/pubmed/35336526 http://dx.doi.org/10.3390/s22062356 |
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