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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Pendekatan yang boleh dibatalkan untuk pengesahan orang biometrik telah dikaji untuk melindungi data biometrik yang didaftarkan, dan beberapa algoritma telah dicadangkan. Satu kelemahan pendekatan boleh dibatalkan ialah prestasi adalah lebih rendah daripada pendekatan tidak boleh dibatalkan. Dalam kertas ini, kami mencadangkan satu skim untuk meningkatkan prestasi pendekatan boleh dibatalkan untuk pengesahan tandatangan dalam talian. Skim kami menjana dua set data boleh dibatalkan daripada satu set data mentah dan menggunakannya untuk pengesahan. Percubaan awal telah dilakukan menggunakan algoritma pengesahan tandatangan dalam talian berasaskan jarak. Keputusan eksperimen menunjukkan bahawa skim cadangan kami adalah menjanjikan.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Salinan
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
Salinan
@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},}
Salinan
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 -