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Article: A novel algorithm of fingerprint encryption using minutiae-based transformation

TitleA novel algorithm of fingerprint encryption using minutiae-based transformation
Authors
KeywordsPrivacy
Biometrics
Minutiaet and matching
Fingerprint encryption
Issue Date2011
Citation
Pattern Recognition Letters, 2011, v. 32, n. 2, p. 305-309 How to Cite?
AbstractThis 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 Identifierhttp://hdl.handle.net/10722/267579
ISSN
2019 Impact Factor: 3.255
2015 SCImago Journal Rankings: 1.225
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChen, H-
dc.contributor.authorChen, H-
dc.date.accessioned2019-02-22T04:08:25Z-
dc.date.available2019-02-22T04:08:25Z-
dc.date.issued2011-
dc.identifier.citationPattern Recognition Letters, 2011, v. 32, n. 2, p. 305-309-
dc.identifier.issn0167-8655-
dc.identifier.urihttp://hdl.handle.net/10722/267579-
dc.description.abstractThis 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.languageeng-
dc.relation.ispartofPattern Recognition Letters-
dc.subjectPrivacy-
dc.subjectBiometrics-
dc.subjectMinutiaet and matching-
dc.subjectFingerprint encryption-
dc.titleA novel algorithm of fingerprint encryption using minutiae-based transformation-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.patrec.2010.09.007-
dc.identifier.scopuseid_2-s2.0-78649320354-
dc.identifier.volume32-
dc.identifier.issue2-
dc.identifier.spage305-
dc.identifier.epage309-
dc.identifier.isiWOS:000285703800025-
dc.identifier.issnl0167-8655-

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