File
Authors
Sodani, Yuta
Li, Shigang
Keywords
biometrics
intra-body propagation signal
support vector machine
SVM
one versus one support vector machine
1vs1 SVM
correct acceptance rate
Abstract
Use of intra-body propagation signals has been proposed for biometric authentication. However, verification performance of the conventional method is low. To overcome this limitation, this study introduces the support vector machine (SVM) into the verification process, which improves the verification rate to approximately 83%. However, the correct acceptance rate of genuine users using only SVM is 49%, which is too low for practical applications. Thus, we introduce the concept of one versus one (1vs1) SVM. Each 1vs1 SVM distinguishes a genuine (authorised) user from another (unauthorised) user. Verification is achieved on the basis of a majority rule using plural 1vs1 SVMs related to a genuine user. The correct acceptance rate is greatly improved to 84% while maintaining equivalent verification performance. As a result, it is further confirmed that an intra-body propagation signal is a potential new biometric trait.
Publisher
Inderscience
Content Type
Journal Article
Link
ISSN・ISBN
1755-8301
Journal Title
International Journal of Biometrics
Current Journal Title
International Journal of Biometrics
Volume
5
Issue
3-4
Start Page
321
End Page
335
Published Date
2013
Publisher-DOI
Text Version
Author
Rights
copyright©2013 Inderscience
Citation
International Journal of Biometrics. 2013, 5(3-4), 321-335
Department
Faculty of Engineering/Graduate School of Engineering
Language
English