Ratiometric Impedance Sensing of Fingers for Robust Identity Authentication

• Published in: Scientific reports Vol. 9; no. 1; pp. 13566 - 12
• Main Authors: Noh, Hyung Wook, Ahn, Chang-Geun, Kong, Hyoun-Joong, Sim, Joo Yong
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 19.09.2019; Nature Publishing Group
• Subjects: 639/166/985; 639/166/987; 9/10; Biometric Identification - instrumentation; Biometrics; Classification; Dielectric Spectroscopy - instrumentation; Electric Impedance; Fingers - physiology; Humanities and Social Sciences; Humans; Impedance; Machine Learning; multidisciplinary; Physiology; Reproducibility of Results; Science; Science (multidisciplinary); Temperature
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-019-49792-9

We present a novel biometric authentication system enabled by ratiometric analysis of impedance of fingers. In comparison to the traditional biometrics that relies on acquired images of structural information of physiological characteristics, our biological impedance approach not only eliminates any practical means of making fake copies of the relevant physiological traits but also provides reliable features of biometrics using the ratiometric impedance of fingers. This study shows that the ratiometric features of the impedance of fingers in 10 different pairs using 5 electrodes at the fingertips can reduce the variation due to undesirable factors such as temperature and day-to-day physiological variations. By calculating the ratio of impedances, the difference between individual subjects was amplified and the spectral patterns were diversified. Overall, our ratiometric analysis of impedance improved the classification accuracy of 41 subjects and reduced the error rate of classification from 29.32% to 5.86% (by a factor of 5).