Title: Performance enhancement of symmetric hashed fingerprint template using dynamic threshold matching algorithm

Authors: S. Ajish; K.S. AnilKumar

Addresses: Department of Futures Studies, Research Centre, University of Kerala, Karyavattom, Thiruvananthapuram, Kerala, India ' University of Kerala, Thiruvananthapuram, Kerala, India

Abstract: The fingerprint template protection is strenuous among other biometric template protections because the fingerprint template stores the minutiae points as security enhancement of the fingerprint template and results in the degradation of the matching performance. The modified symmetric hash method uses a secret key as a multiplication parameter for the hashing of the fingerprint biometric template. The irreversibility and unlikability analysis of the modified symmetric hashed fingerprint template exhibits better security. The multiplication of the fingerprint minutiae template by a secret key mitigates the accuracy of matching performance. This paper proposes a dynamic threshold matching algorithm in which the threshold values are derived from the secret key. Experimental results on FVC 2004 database show that the combination of modified symmetric hash function and the dynamic threshold matching algorithm prompt better security and excellent matching performance.

Keywords: fingerprint template; modified symmetric hashing; accuracy; irreversibility; unlinkability; minutiae matching; false match rate; false nonmatch rate; Euclidean distance; angular threshold.

DOI: 10.1504/IJBM.2023.127726

International Journal of Biometrics, 2023 Vol.15 No.1, pp.78 - 100

Received: 21 Jan 2021
Accepted: 26 Oct 2021

Published online: 15 Dec 2022 *

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