Ratiometric Impedance Sensing of Fingers for Robust Identity Authentication
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...
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| Published in | Scientific reports Vol. 9; no. 1; pp. 13566 - 12 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
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London
Nature Publishing Group UK
19.09.2019
Nature Publishing Group |
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| Abstract | 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). |
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| AbstractList | 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). 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).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). |
| ArticleNumber | 13566 |
| Author | Kong, Hyoun-Joong Ahn, Chang-Geun Noh, Hyung Wook Sim, Joo Yong |
| Author_xml | – sequence: 1 givenname: Hyung Wook orcidid: 0000-0001-6237-0021 surname: Noh fullname: Noh, Hyung Wook organization: Medical Information Research Section, Welfare & Medical ICT Research Department, Electronics and Telecommunications Research Institute, Department of Biomedical Engineering, Chungnam National University College of Medicine – sequence: 2 givenname: Chang-Geun surname: Ahn fullname: Ahn, Chang-Geun organization: Medical Information Research Section, Welfare & Medical ICT Research Department, Electronics and Telecommunications Research Institute – sequence: 3 givenname: Hyoun-Joong surname: Kong fullname: Kong, Hyoun-Joong organization: Department of Biomedical Engineering, Chungnam National University College of Medicine – sequence: 4 givenname: Joo Yong orcidid: 0000-0003-3779-7589 surname: Sim fullname: Sim, Joo Yong email: jsim@etri.re.kr organization: Medical Information Research Section, Welfare & Medical ICT Research Department, Electronics and Telecommunications Research Institute |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31537843$$D View this record in MEDLINE/PubMed |
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| Snippet | We present a novel biometric authentication system enabled by ratiometric analysis of impedance of fingers. In comparison to the traditional biometrics that... |
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| SubjectTerms | 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 |
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| Title | Ratiometric Impedance Sensing of Fingers for Robust Identity Authentication |
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