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Face Presentation Attack Detection Using Multi-classifier Fusion of Off-the-Shelf Deep Features

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Computer Vision and Image Processing (CVIP 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1148))

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Abstract

Face recognition systems are vulnerable to the presentation (or spoof or direct) attacks that can be carried out by presenting the face artefact corresponding to the legitimate user. Thus, it is essential to develop a Presentation Attack Detection (PAD) algorithms that can automatically detect the presentation attacks the face recognition systems. In this paper, we present a novel method for face presentation attack detection based on the multi-classifier fusion of deep features that are computed using the off-the-shelf pre-trained deep Convolutional Neural Network (CNN) architecture based on AlexNet. Extracted features are compared using softmax and Spectral Regression Kernel Discriminant Analysis (SRKDA) classifiers to obtain the comparison scores that are combined using a weighted sum rule. Extensive experiments are carried out on the publicly available OULU-NPU database and performance of the proposed method is benchmarked with fifteen different state-of-the-art techniques. Obtained results have indicated the outstanding performance of the proposed method on OULU-NPU database.

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Acknowledgment

This work is carried out under the partial funding of the Research Council of Norway (Grant No. IKTPLUSS 248030/O70).

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Authors and Affiliations

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

    Raghavendra Ramachandra, Jag Mohan Singh, Sushma Venkatesh, Kiran Raja & Christoph Busch

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  1. Raghavendra Ramachandra
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  2. Jag Mohan Singh
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  3. Sushma Venkatesh
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  4. Kiran Raja
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  5. Christoph Busch
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Corresponding author

Correspondence to Jag Mohan Singh .

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Editors and Affiliations

  1. Malaviya National Institute of Technology, Jaipur, Rajasthan, India

    Neeta Nain

  2. Malaviya National Institute of Technology, Jaipur, Rajasthan, India

    Santosh Kumar Vipparthi

  3. Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Balasubramanian Raman

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Ramachandra, R., Singh, J.M., Venkatesh, S., Raja, K., Busch, C. (2020). Face Presentation Attack Detection Using Multi-classifier Fusion of Off-the-Shelf Deep Features. In: Nain, N., Vipparthi, S., Raman, B. (eds) Computer Vision and Image Processing. CVIP 2019. Communications in Computer and Information Science, vol 1148. Springer, Singapore. https://doi.org/10.1007/978-981-15-4018-9_5

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  • DOI: https://doi.org/10.1007/978-981-15-4018-9_5

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