フルテキストファイル
著者
Nakanishi Isao Graduate School of Engineering, Tottori University 研究者総覧 KAKEN
Sodani Yuta Graduate School of Engineering, Tottori University
Li Shigang Graduate School of Engineering, Tottori University
キーワード
biometrics
intra-body propagation signal
support vector machine
SVM
one versus one support vector machine
1vs1 SVM
correct acceptance rate
抄録
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.
出版者
Inderscience
資料タイプ
学術雑誌論文
外部リンク
ISSN・ISBN
1755-8301
掲載誌名
International Journal of Biometrics
最新掲載誌名
International Journal of Biometrics
5
3-4
開始ページ
321
終了ページ
335
発行日
2013
出版者DOI
著者版フラグ
著者版
著作権表記
copyright©2013 Inderscience
掲載情報
International Journal of Biometrics. 2013, 5(3-4), 321-335
部局名
工学部・工学研究科
言語
英語