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Fingerprint Presentation Attack Detection Using Transfer Learning Approach

Fingerprint Presentation Attack Detection Using Transfer Learning Approach

Rajneesh Rani, Harpreet Singh
Copyright: © 2021 |Volume: 17 |Issue: 1 |Pages: 15
ISSN: 1548-3657|EISSN: 1548-3665|EISBN13: 9781799859628|DOI: 10.4018/IJIIT.2021010104
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MLA

Rani, Rajneesh, and Harpreet Singh. "Fingerprint Presentation Attack Detection Using Transfer Learning Approach." IJIIT vol.17, no.1 2021: pp.1-15. http://doi.org/10.4018/IJIIT.2021010104

APA

Rani, R. & Singh, H. (2021). Fingerprint Presentation Attack Detection Using Transfer Learning Approach. International Journal of Intelligent Information Technologies (IJIIT), 17(1), 1-15. http://doi.org/10.4018/IJIIT.2021010104

Chicago

Rani, Rajneesh, and Harpreet Singh. "Fingerprint Presentation Attack Detection Using Transfer Learning Approach," International Journal of Intelligent Information Technologies (IJIIT) 17, no.1: 1-15. http://doi.org/10.4018/IJIIT.2021010104

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Abstract

In this busy world, biometric authentication methods are serving as fast authentication means. But with growing dependencies on these systems, attackers have tried to exploit these systems through various attacks; thus, there is a strong need to protect authentication systems. Many software and hardware methods have been proposed in the past to make existing authentication systems more robust. Liveness detection/presentation attack detection is one such method that provides protection against malicious agents by detecting fake samples of biometric traits. This paper has worked on fingerprint liveness detection/presentation attack detection using transfer learning for which the authors have used a pre-trained NASNetMobile model. The experiments are performed on publicly available liveness datasets LivDet 2011 and LivDet 2013 and have obtained good results as compared to state of art techniques in terms of ACE(average classification error).