dc.citation.conferencePlace |
KO |
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dc.citation.title |
Annual International Conference of IEEE Engineering in Medicine and Biology Society |
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dc.contributor.author |
Kim, Hanvit |
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dc.contributor.author |
Nguyen, Minh Phuong |
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dc.contributor.author |
Chun, Se Young |
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dc.date.accessioned |
2023-12-19T18:37:55Z |
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dc.date.available |
2023-12-19T18:37:55Z |
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dc.date.created |
2017-09-05 |
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dc.date.issued |
2017-07-12 |
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dc.description.abstract |
Biometrics such as ECG provides a convenient and powerful security tool to verify or identify an individual. However, one important drawback of biometrics is that it is irrevocable. In other words, biometrics cannot be re-used practically once it is compromised. Cancelable biometrics has been investigated to overcome this drawback. In this paper, we propose a cancelable ECG biometrics by deriving a generalized likelihood ratio test (GLRT) detector from a composite hypothesis testing in randomly projected domain. Since it is common to observe performance degradation for cancelable biometrics, we also propose a guided filtering (GF) with irreversible guide signal that is a non-invertibly transformed signal of ECG authentication template. We evaluated our proposed method using ECG-ID database with 89 subjects. Conventional Euclidean detector with original ECG template yielded 93.9% PD1 (detection probability at 1% FAR) while Euclidean detector with 10% compressed ECG (1/10 of the original data size) yielded 90.8% PD1. Our proposed GLRT detector with 10% compressed ECG yielded 91.4%, which is better than Euclidean with the same compressed ECG. GF with our proposed irreversible ECG template further improved the performance of our GLRT with 10% compressed ECG up to 94.3%, which is higher than Euclidean detector with original ECG. Lastly, we showed that our proposed cancelable ECG biometrics practically met cancelable biometrics criteria such as efficiency, re-usability, diversity and non-invertibility. |
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dc.identifier.bibliographicCitation |
Annual International Conference of IEEE Engineering in Medicine and Biology Society |
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dc.identifier.doi |
10.1109/EMBC.2017.8036860 |
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dc.identifier.scopusid |
2-s2.0-85032208448 |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/32751 |
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dc.identifier.url |
http://ieeexplore.ieee.org/document/8036860/ |
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dc.language |
영어 |
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dc.publisher |
IEEE |
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dc.title |
Cancelable ECG Biometrics using GLRT and Performance Improvement using Guided Filter with Irreversible Guide Signal |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2017-07-11 |
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