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- Publisher Website: 10.1016/j.patrec.2010.09.007
- Scopus: eid_2-s2.0-78649320354
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Article: A novel algorithm of fingerprint encryption using minutiae-based transformation
Title | A novel algorithm of fingerprint encryption using minutiae-based transformation |
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Authors | |
Keywords | Privacy Biometrics Minutiaet and matching Fingerprint encryption |
Issue Date | 2011 |
Citation | Pattern Recognition Letters, 2011, v. 32, n. 2, p. 305-309 How to Cite? |
Abstract | This paper presents a novel algorithm of fingerprint encryption which transforms fingerprint minutiae and performs matching in the transformed form. If an encrypted template is compromised, it can be cancelled by choosing just another transformed template. In our algorithm, a circular region is constructed around each minutia and non-invertible transformation is applied to all regions but only transformed regions are stored in the database. The proposed algorithm improves the accuracy of verification compared to related fuzzy vault systems. Experimental results show the comparative performance of matching using both transformed and original data. We find that transformed matching also has an impressive accuracy and speed. © 2010 Elsevier B.V. All rights reserved. |
Persistent Identifier | http://hdl.handle.net/10722/267579 |
ISSN | 2023 Impact Factor: 3.9 2023 SCImago Journal Rankings: 1.400 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Chen, H | - |
dc.contributor.author | Chen, H | - |
dc.date.accessioned | 2019-02-22T04:08:25Z | - |
dc.date.available | 2019-02-22T04:08:25Z | - |
dc.date.issued | 2011 | - |
dc.identifier.citation | Pattern Recognition Letters, 2011, v. 32, n. 2, p. 305-309 | - |
dc.identifier.issn | 0167-8655 | - |
dc.identifier.uri | http://hdl.handle.net/10722/267579 | - |
dc.description.abstract | This paper presents a novel algorithm of fingerprint encryption which transforms fingerprint minutiae and performs matching in the transformed form. If an encrypted template is compromised, it can be cancelled by choosing just another transformed template. In our algorithm, a circular region is constructed around each minutia and non-invertible transformation is applied to all regions but only transformed regions are stored in the database. The proposed algorithm improves the accuracy of verification compared to related fuzzy vault systems. Experimental results show the comparative performance of matching using both transformed and original data. We find that transformed matching also has an impressive accuracy and speed. © 2010 Elsevier B.V. All rights reserved. | - |
dc.language | eng | - |
dc.relation.ispartof | Pattern Recognition Letters | - |
dc.subject | Privacy | - |
dc.subject | Biometrics | - |
dc.subject | Minutiaet and matching | - |
dc.subject | Fingerprint encryption | - |
dc.title | A novel algorithm of fingerprint encryption using minutiae-based transformation | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.patrec.2010.09.007 | - |
dc.identifier.scopus | eid_2-s2.0-78649320354 | - |
dc.identifier.volume | 32 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 305 | - |
dc.identifier.epage | 309 | - |
dc.identifier.isi | WOS:000285703800025 | - |
dc.identifier.issnl | 0167-8655 | - |