File
Authors
Fujita, Kohei Graduate School of Sustainability Sciences Tottori University
Ishimoto, Yuya Graduate School of Sustainability Sciences Tottori University
Nakanishi, Isao Faculty of Engineering Tottori University Researchers DB KAKEN
Keywords
biometrics
intra-palm propagation signal
phase spectrum
verification performance
Abstract
In recent years, biometrics such as fingerprints and iris scans has been used in authentication. However, conventional biometrics is vulnerable to identity theft, especially in user management systems. As a new biometric without this vulnerability, we focused on intra-palm propagation signals, which are not exposed on a body surface. An intra-palm propagation signal is a signal that propagates between two pairs of electrodes, which are on the transmitter and receiver sides on a palm. When current passes between the electrodes on the transmitter side, the leakage electric field is generated. On the receiver side, this electric field is detected as a voltage change and regarded as an intra-palm propagation signal. In this paper, a new feature based on a phase spectrum of an intra-palm propagation signal is proposed, and its performance for verifying individuals is examined by the evaluation.
Publisher
IEEE
Content Type
Conference Paper
Journal Title
Proceding of 2020 12th International Conference on Knowledge and Smart Technology (KST2020)
Start Page
86
End Page
90
Publisher-DOI
Text Version
Author
Rights
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Citation
Kohei Fujita, Yuya Ishimoto, Isao Nakanishi. Person Verification Using Intra-Palm Propagation Signals with A New Phase Spectrum. Proceding of 2020 12th International Conference on Knowledge and Smart Technology (KST2020), pp.86-90, Jan. 2020
Department
Faculty of Engineering/Graduate School of Engineering
Language
English