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A Survey on Unknown Presentation Attack Detection for Fingerprint

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Intelligent Technologies and Applications (INTAP 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1382))

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Abstract

Fingerprint recognition systems are widely deployed in various real-life applications as they have achieved high accuracy. The widely used applications include border control, automated teller machine (ATM), and attendance monitoring systems. However, these critical systems are prone to spoofing attacks (a.k.a presentation attacks (PA)). PA for fingerprint can be performed by presenting gummy fingers made from different materials such as silicone, gelatine, play-doh, ecoflex, 2D printed paper, 3D printed material, or latex. Biometrics Researchers have developed Presentation Attack Detection (PAD) methods as a countermeasure to PA. PAD is usually done by training a machine learning classifier for known attacks for a given dataset, and they achieve high accuracy in this task. However, generalizing to unknown attacks is an essential problem from applicability to real-world systems, mainly because attacks cannot be exhaustively listed in advance. In this survey paper, we present a comprehensive survey on existing PAD algorithms for fingerprint recognition systems, specifically from detecting unknown PAD. We categorize PAD algorithms, point out their advantages/disadvantages, and future directions for this area.

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Authors and Affiliations

  1. Norwegian Biometrics Laboratory, Norwegian University of Science and Technology (NTNU), Trondheim, Norway

    Jag Mohan Singh, Ahmed Madhun, Guoqiang Li & Raghavendra Ramachandra

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  1. Jag Mohan Singh
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  2. Ahmed Madhun
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  3. Guoqiang Li
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  4. Raghavendra Ramachandra
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Correspondence to Jag Mohan Singh .

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Editors and Affiliations

  1. NTNU, Gjøvik, Norway

    Sule Yildirim Yayilgan

  2. The Islamia University of Bahawalpur, Punjab, Pakistan

    Imran Sarwar Bajwa

  3. University of Agder, Kristiansand, Norway

    Filippo Sanfilippo

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Singh, J.M., Madhun, A., Li, G., Ramachandra, R. (2021). A Survey on Unknown Presentation Attack Detection for Fingerprint. In: Yildirim Yayilgan, S., Bajwa, I.S., Sanfilippo, F. (eds) Intelligent Technologies and Applications. INTAP 2020. Communications in Computer and Information Science, vol 1382. Springer, Cham. https://doi.org/10.1007/978-3-030-71711-7_16

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  • DOI: https://doi.org/10.1007/978-3-030-71711-7_16

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