8 October 2018 Securing fingerprint template using noninvertible ridge feature transformation
Rudresh Dwivedi, Somnath Dey
Author Affiliations +
Abstract
In a biometric verification system, leakage of biometric data leads to permanent identity loss since original biometric data are inherently linked to a user. Further, various types of attacks on a biometric system may reveal the original template and utilize in other applications. To address these security and privacy concerns, cancelable biometric has been introduced. Cancelable biometric derives a protected template from the original biometric template using transformation functions and performs comparison between templates in the transformed domain. Recent approaches toward cancelable fingerprint generation either rely on aligning minutiae points with respect to singular points (core/delta) or utilize the absolute coordinate positions of minutiae points. We propose a noninvertible ridge feature transformation method to protect the original fingerprint template information. The proposed method partitions the fingerprint region into a number of sectors with reference to each minutia point employing a ridge-based co-ordinate system. The nearest-neighbor minutiae points in each sector are identified, and ridge-based features are computed. Further, a cancelable template is generated by applying the Cantor pairing function followed by random projection. We have evaluated our method with FVC2002, FVC2004, and FVC2006 databases. It is evident from the experimental results that the proposed method outperforms existing methods in the literature. Moreover, the security analysis demonstrates that the proposed method fulfills the necessary requirements of noninvertibility, revocability, and diversity with a minor performance degradation caused due to cancelable transformation.
© 2018 SPIE and IS&T 1017-9909/2018/$25.00 © 2018 SPIE and IS&T
Rudresh Dwivedi and Somnath Dey "Securing fingerprint template using noninvertible ridge feature transformation," Journal of Electronic Imaging 27(5), 053031 (8 October 2018). https://doi.org/10.1117/1.JEI.27.5.053031
Received: 13 July 2018; Accepted: 13 September 2018; Published: 8 October 2018
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CITATIONS
Cited by 9 scholarly publications.
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KEYWORDS
Biometrics

Databases

Information security

Binary data

Matrices

Feature extraction

Annealing

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