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Biometric Access Control with High Dimensional Facial Features

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Information Security and Privacy (ACISP 2016)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 9723))

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Abstract

Access control is vital to prevent adversary from stealing resources from data centres. The security of traditional authentication means, such as password and Personal Identification Number (PIN), are imperfect for access control. In this paper, a reliable facial biometric access control with promising authentication performance is proposed. In our study, facial feature representation is computed based on ICA modelling, descriptor binarization, bitwise operation on the bit maps and effective compression via whitening PCA. The proposed technique is namely Binarized Independent Component Pattern (BICP). BICP training module integrates ICA methodology to construct ICA filter bank from natural image patches. Each face image is convoluted with the filters for the corresponding ICA responses. The ICA responses are further processed via feature binarization, and XOR bitwise operation before convert to code map. Next, block-wise histogramming is applied on each code map. By concatenating the regional histograms, it produces a set of high dimensional BICP descriptor, which will be further scaled and compressed. Empirical results show the remarkable performance of BICP on facial expression, illumination, time span and facial makeup effects.

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Authors and Affiliations

  1. Faculty of Information Science and Technology, Multimedia University, Cyberjaya, Malaysia

    Ying Han Pang, Ean Yee Khor & Shih Yin Ooi

Authors
  1. Ying Han Pang
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  2. Ean Yee Khor
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  3. Shih Yin Ooi
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Corresponding author

Correspondence to Ying Han Pang .

Editor information

Editors and Affiliations

  1. Monash University , Melbourne, Victoria, Australia

    Joseph K. Liu

  2. Monash University , Melbourne, Victoria, Australia

    Ron Steinfeld

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Pang, Y.H., Khor, E.Y., Ooi, S.Y. (2016). Biometric Access Control with High Dimensional Facial Features. In: Liu, J., Steinfeld, R. (eds) Information Security and Privacy. ACISP 2016. Lecture Notes in Computer Science(), vol 9723. Springer, Cham. https://doi.org/10.1007/978-3-319-40367-0_28

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  • DOI: https://doi.org/10.1007/978-3-319-40367-0_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40366-3

  • Online ISBN: 978-3-319-40367-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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