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Integrating Liveness Detection Technique into Fingerprint Recognition System: A Review of Various Methodologies Based on Texture Features

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Progress in Intelligent Computing Techniques: Theory, Practice, and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 518))

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Abstract

Automatic fingerprint recognition systems can be deceived by spoof attack wherein an artificial fingerprint from synthetic finger fabricated using material like silicone, latex, is presented for verification. This is a serious issue as an adversary can impersonate a legitimate user of the system, especially when fingerprint technology is used as a security measure instead of conventional passwords. The solution is to integrate a liveness detection technique into the fingerprint recognition system to ensure the presence of a legitimate user. One approach is to use a dedicated hardware module with liveness detection capability, but it is intrusive, non-flexible, costly and needs user co-operation. Another approach is to use a dedicated software module with liveness detection capability, which is non-intrusive and user-friendly. Among the software-based methods, single image-based methods are simple, faster, cheaper, user-friendly and adaptable. Use of texture features for image analysis and classification is an important field in machine vision applications. Due to the fact that live and spoof fingerprints exhibit different textural properties, the proposed methods with several texture features from the literature have offered significant improvement in liveness detection accuracy. This paper presents a review on the existing texture features-based fingerprint liveness detection methods.

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Authors and Affiliations

  1. K. J. Somaiya College of Engineering, Mumbai, Maharashtra, India

    Jayshree Kundargi & R. G. Karandikar

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  1. Jayshree Kundargi
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  2. R. G. Karandikar
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Correspondence to Jayshree Kundargi .

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Editors and Affiliations

  1. National Institute of Technology, Dept. of Computer Science & Engineering National Institute of Technology, Rourkela, Odisha, India

    Pankaj Kumar Sa

  2. National Institute of Technology, Dept. of Computer Science & Engineering National Institute of Technology, Rourkela, Odisha, India

    Manmath Narayan Sahoo

  3. Universiti Malaysia Perlis (UniMAP), School of Mecahtronics Engineering Universiti Malaysia Perlis (UniMAP), Arau, Perlis, Malaysia

    M. Murugappan

  4. The University of Exeter, Lecturer The University of Exeter, Exeter, Devon, United Kingdom

    Yulei Wu

  5. National Institute of Technology, Dept. of Computer Science & Engineering National Institute of Technology, Rourkela, Odisha, India

    Banshidhar Majhi

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Kundargi, J., Karandikar, R.G. (2018). Integrating Liveness Detection Technique into Fingerprint Recognition System: A Review of Various Methodologies Based on Texture Features. In: Sa, P., Sahoo, M., Murugappan, M., Wu, Y., Majhi, B. (eds) Progress in Intelligent Computing Techniques: Theory, Practice, and Applications. Advances in Intelligent Systems and Computing, vol 518. Springer, Singapore. https://doi.org/10.1007/978-981-10-3373-5_30

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  • DOI: https://doi.org/10.1007/978-981-10-3373-5_30

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