IEICE TRANSACTIONS on Fundamentals
Enhanced Cancelable Biometrics for Online Signature Verification
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E93-A No.6 pp.1254-1259
- Publication Date
- 2010/06/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E93.A.1254
- Type of Manuscript
- LETTER
- Category
- Analog Signal Processing
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
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.
Cite this
Copy
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
Copy
@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},}
Copy
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 -
English
