Title

Alignment-free cancelable fingerprint templates with dual protection

Document Type

Journal Article

Publication Title

Pattern Recognition

Volume

111

Publisher

Elsevier

School

ECU Security Research Institute / School of Science

RAS ID

32648

Comments

Shahzad, M., Wang, S., Deng, G., & Yang, W. (2021). Alignment-free cancelable fingerprint templates with dual protection. Pattern Recognition, 111, article 107735. https://doi.org/10.1016/j.patcog.2020.107735

Abstract

© 2020 Cancelable biometrics is an important biometric template protection technique. However, many existing cancelable fingerprint templates suffer post-transformation performance deterioration and the attacks via record multiplicity (ARM). In this paper, we design alignment-free cancelable fingerprint templates with dual protection, which is composed of the window-shift-XOR model and the partial discrete wavelet transform. The former defuses the ARM threat and is combined with the latter to provide dual protection and enhance matching performance. The designed cancelable templates meet the requirements of non-invertibility, diversity and revocability and demonstrate superior recognition accuracy, when evaluated over public databases; for example, the Equal Error Rate of the proposed method in the lost-key scenario under the 1vs1 protocol is 0% for both FVC2002 DB1 and DB2, 1.63% for FVC2002 DB3, 7.35% for FVC2004 DB1 and 4.69% for FVC2004DB2.

DOI

10.1016/j.patcog.2020.107735

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