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User verification based on the support vector machine using intra-body propagation signals Nakanishi, Isao 2512 Nakanishi, Isao 80243377 100000543 Sodani, Yuta 26737 Li, Shigang 26738 Sodani, Yuta 26739 Li, Shigang 26740 biometrics intra-body propagation signal support vector machine SVM one versus one support vector machine 1vs1 SVM correct acceptance rate biometrics intra-body propagation signal support vector machine SVM one versus one support vector machine 1vs1 SVM correct acceptance rate 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. journal article Inderscience 2013 AM application/pdf International Journal of Biometrics 3-4 5 321 335 International Journal of Biometrics 17558301 https://repository.lib.tottori-u.ac.jp/record/7215/files/ijb5(3-4)_321.pdf https://repository.lib.tottori-u.ac.jp/records/7215 eng 10.1504/IJBM.2013.055968 International Journal of Biometrics. 2013, 5(3-4), 321-335 https://www.inderscienceonline.com/doi/abs/10.1504/IJBM.2013.055968 https://www.inderscienceonline.com/doi/abs/10.1504/IJBM.2013.055968 copyright©2013 Inderscience