On the Recognition Performance of BioHash-Protected Finger Vein Templates-Reference-Cited by-同舟云学术

On the Recognition Performance of BioHash-Protected Finger Vein Templates

Published:2019-11-14 Issue: Volume: Page:465-480
ISSN:2191-6586
Container-title:Handbook of Vascular Biometrics
language:
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Author:

Krivokuća Vedrana,Marcel Sébastien

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-27731-4_15

Reference19 articles.

1. Sandhya M, Prasad MVNK (2017) Biometric template protection: a systematic literature review of approaches and modalities. Springer International Publishing, Cham, pp 323–370

2. Hirata S, Takahashi K (2009) Cancelable biometrics with perfect secrecy for correlation-based matching. Springer, Berlin, Heidelberg, pp 868–878

3. Piciucco E, Maiorana E, Kauba C, Uhl A, Campisi P (2016) Cancelable biometrics for finger vein recognition. In: 2016 First international workshop on sensing, processing and learning for intelligent machines (SPLINE), July 2016, pp 1–5

4. Liu Y, Ling J, Liu Z, Shen J, Gao C (2017) Finger vein secure biometric template generation based on deep learning. Soft Comput 1–9

5. Favre M, Picard S, Bringer J, Chabanne H (2015) Balancing is the key: performing finger vein template protection using fuzzy commitment. In: 2015 International conference on information systems security and privacy (ICISSP), Feb 2015, pp 1–8

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