Title: Fingerprint template protection using SNL approach-based pattern transformation

Authors: Joycy K. Antony; K. Kanagalakshmi

Addresses: Department of Computer Science, Nehru Arts and Science College, Thirumalayampalayam, Tamil Nadu 641105, India ' Kamalam College of Arts and Science, Udumalpet, Anthiyur, Tamil Nadu 642107, India

Abstract: This paper proposes snake and ladder (SNL)-based cancellable biometric model with two-phase, such as enrolment along with the authentication phase using SNL approach. Here, the combination of two fingerprints is given as input for generating virtual identity. Moreover, the fingerprints are given as input to the enrolment phase. From one fingerprint, minutiae positions are obtained and from another one, orientation is obtained. The extracted information is further used to generate the combined minutiae template. Then, the SNL is applied which comprises certain strategies like intermixing, swapping, and simulated values insertion for providing a new virtual identity. Meanwhile, the authentication phase is implemented wherein the model needs two queries as fingerprints for confirmation. The proposed SNL-based cancellable biometric technique shows superior performance having maximal accuracy of 91.332%, minimal FAR of 5.434%, minimal FRR of 3.504%, and maximal GAR of 94.565%.

Keywords: biometric system; fingerprint images; snake and ladder approach; virtual identity; pattern transformation.

DOI: 10.1504/IJBM.2023.133198

International Journal of Biometrics, 2023 Vol.15 No.5, pp.623 - 643

Received: 21 May 2021
Accepted: 07 Dec 2021
Published online: 01 Sep 2023 *

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