Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/4895
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dc.contributor.authorPrakash, Suryaen_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-17T15:35:55Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-17T15:35:55Z-
dc.date.issued2019-
dc.identifier.citationAli, S. S., & Prakash, S. (2019). 3-dimensional secured fingerprint shell. Pattern Recognition Letters, 126, 68-77. doi:10.1016/j.patrec.2018.04.017en_US
dc.identifier.issn0167-8655-
dc.identifier.otherEID(2-s2.0-85045540092)-
dc.identifier.urihttps://doi.org/10.1016/j.patrec.2018.04.017-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/4895-
dc.description.abstractBiometric systems relying on fingerprint usually use minutiae points information and store it directly in the database. However, databases are prone to get attacked by an adversary. As fingerprint can be generated using the information of its minutiae points, it is essential to ensure the security of the fingerprint data in biometric systems. Another problem associated with fingerprint authentication systems is the variation among fingerprint images of the same subject, which occurs due to rotation and translation of finger at the time of capturing fingerprints through sensors. A technique called Fingerprint Shell is proposed by Moujahdi et al. as a secured representation of fingerprint template. However, this technique uses only one intra-subject invariant feature, which is the distances between minutiae points and singular point to generate a 2-dimensional spiral curve which is used as a secured user template. In this paper, we analyze the weaknesses of the Fingerprint Shell and propose a highly secured fingerprint template protection technique in which a 3-dimensional spiral curve is generated as a secured user template for a fingerprint. To obtain the proposed secured fingerprint template, we utilize three intra-subject invariant features, namely distances between minutiae points and singular point, the orientation information of minutiae points and the ridge counts between minutiae points and singular point. Outcomes of the experimental analysis conducted on FVC (2000, 2002 and 2004) and IIT Kanpur databases show highly encouraging performance and exhibit the viability of the proposed technique. The technique has also been analyzed with respect to various attacks and is found to be highly secure and robust. © 2018 Elsevier B.V.en_US
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.sourcePattern Recognition Lettersen_US
dc.subjectDatabase systemsen_US
dc.subjectInformation useen_US
dc.subjectBiometric securityen_US
dc.subjectDiversityen_US
dc.subjectFingerprinten_US
dc.subjectMinutiaeen_US
dc.subjectRevocabilityen_US
dc.subjectTemplate securitiesen_US
dc.subjectBiometricsen_US
dc.title3-Dimensional Secured Fingerprint Shellen_US
dc.typeJournal Articleen_US
Appears in Collections:Department of Computer Science and Engineering

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