Title: Fingerprint template protection: cancellable biometrics

Authors: Ayesha S. Shaikh; Vibha D. Patel

Addresses: Gujarat Technological University, Nr. Vishwakarma Government Engineering College, Nr. Visat Three Roads, Visat – Gandhinagar Highway Chandkheda, Ahmedabad – 382424, Gujarat, India ' Information Technology Department, Vishwakarma Government Engineering College, Nr. Visat Three Roads, Visat – Gandhinagar Highway Chandkheda, Ahmedabad – 382424, Gujarat, India

Abstract: Biometric authentication systems have become more popular nowadays because of mobile and other handheld devices since they eliminate the need for a password or pin to remember. If an intruder hacks biometric traits, there is no way to change the biometric traits of any person because they are permanently attached to the person. The biometric traits are not replaceable like passwords; hence, the key research area is privacy preservation. To stop such biometric traits from being stolen or used improperly, secure technology solutions must be developed. In order to provide a reliable and secure biometric authentication system, we present a cancellable biometrics technique. We proposed a highly secure method for cancellable biometrics using a speeded up robust feature approach for image feature extraction, which is followed by a fast Fourier transform with an index of max hashing and Hadamard product vector for the protection of the biometric template. On a standard dataset FVC2002-DB1 and DB2, we tested and assessed the suggested strategy, and we got reasonably decent results.

Keywords: fingerprint biometrics; template protection; cancellable biometric; security and privacy preservation.

DOI: 10.1504/IJCVR.2026.154146

International Journal of Computational Vision and Robotics, 2026 Vol.16 No.4, pp.339 - 410

Received: 18 Feb 2023
Accepted: 08 Feb 2024
Published online: 15 Jun 2026 *

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