The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Des approches annulables pour l'authentification biométrique des personnes ont été étudiées pour protéger les données biométriques enregistrées, et plusieurs algorithmes ont été proposés. Un inconvénient des approches annulables est que les performances sont inférieures à celles des approches non annulables. Dans cet article, nous proposons un schéma pour améliorer les performances d'une approche annulable pour la vérification de signature en ligne. Notre schéma génère deux ensembles de données annulables à partir d'un ensemble de données brutes et les utilise à des fins de vérification. Des expériences préliminaires ont été réalisées à l’aide d’un algorithme de vérification de signature en ligne basé sur la distance. Les résultats expérimentaux montrent que notre schéma proposé est prometteur.
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Daigo MURAMATSU, Manabu INUMA, Junji SHIKATA, Akira OTSUKA, "Enhanced Cancelable Biometrics for Online Signature Verification" in IEICE TRANSACTIONS on Fundamentals,
vol. E93-A, no. 6, pp. 1254-1259, June 2010, doi: 10.1587/transfun.E93.A.1254.
Abstract: Cancelable approaches for biometric person authentication have been studied to protect enrolled biometric data, and several algorithms have been proposed. One drawback of cancelable approaches is that the performance is inferior to that of non-cancelable approaches. In this paper, we propose a scheme to improve the performance of a cancelable approach for online signature verification. Our scheme generates two cancelable dataset from one raw dataset and uses them for verification. Preliminary experiments were performed using a distance-based online signature verification algorithm. The experimental results show that our proposed scheme is promising.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E93.A.1254/_p
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@ARTICLE{e93-a_6_1254,
author={Daigo MURAMATSU, Manabu INUMA, Junji SHIKATA, Akira OTSUKA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Enhanced Cancelable Biometrics for Online Signature Verification},
year={2010},
volume={E93-A},
number={6},
pages={1254-1259},
abstract={Cancelable approaches for biometric person authentication have been studied to protect enrolled biometric data, and several algorithms have been proposed. One drawback of cancelable approaches is that the performance is inferior to that of non-cancelable approaches. In this paper, we propose a scheme to improve the performance of a cancelable approach for online signature verification. Our scheme generates two cancelable dataset from one raw dataset and uses them for verification. Preliminary experiments were performed using a distance-based online signature verification algorithm. The experimental results show that our proposed scheme is promising.},
keywords={},
doi={10.1587/transfun.E93.A.1254},
ISSN={1745-1337},
month={June},}
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TY - JOUR
TI - Enhanced Cancelable Biometrics for Online Signature Verification
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1254
EP - 1259
AU - Daigo MURAMATSU
AU - Manabu INUMA
AU - Junji SHIKATA
AU - Akira OTSUKA
PY - 2010
DO - 10.1587/transfun.E93.A.1254
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E93-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2010
AB - Cancelable approaches for biometric person authentication have been studied to protect enrolled biometric data, and several algorithms have been proposed. One drawback of cancelable approaches is that the performance is inferior to that of non-cancelable approaches. In this paper, we propose a scheme to improve the performance of a cancelable approach for online signature verification. Our scheme generates two cancelable dataset from one raw dataset and uses them for verification. Preliminary experiments were performed using a distance-based online signature verification algorithm. The experimental results show that our proposed scheme is promising.
ER -