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A Spoofing Security Approach for Facial Biometric Data Authentication in Unconstraint Environment

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Book cover Progress in Advanced Computing and Intelligent Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 713))

Abstract

Security is ever a challenging issue of research at national and international level due to the privacy standards of object detection and recognition in unconstraint environment. Almost real-life activities are performed under the unconstraint conditions in which exact determination of any activity fails due to the lack of complete information of facial parts, hands and relevant objects. However, from social interaction views, face detection is a quite saturated research in normal conditions but, due to highly sensitive and easy availability of facial data, encourages the researchers to work by cryptographic aspects in unconstraint environment. In this work, we focus on securities issues for automated facial biometric data authentication by local features extraction. By keeping space and time intricacy, we ensure the fusion of Gabor, center-symmetric LBP and discriminative robust LBP features to improve the performance. The feature matching is performed by majority of vote in which difference of Gaussian and robust local ternary pattern is used. Since we choose one sample to match with stored faces, the reduction in space complexity improves the performance up to 89% of matching accuracy.

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Authors and Affiliations

  1. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, 247667, Uttarakhand, India

    Naresh Kumar

  2. Department of Computer Science & Engineering, MBM Engineering College, Jai Narain Vyas University, Jodhpur, 342011, Rajasthan, India

    Aditi Sharma

Authors
  1. Naresh Kumar
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  2. Aditi Sharma
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Corresponding author

Correspondence to Naresh Kumar .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Rama Devi Women's University, Bhubaneswar, Odisha, India

    Bibudhendu Pati

  2. Department of Computer Science, Rama Devi Women's University, Bhubaneswar, Odisha, India

    Chhabi Rani Panigrahi

  3. Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India

    Sudip Misra

  4. Department of Computer Science, Central University of Rajasthan, Jaipur, Rajasthan, India

    Arun K. Pujari

  5. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Sambit Bakshi

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Kumar, N., Sharma, A. (2019). A Spoofing Security Approach for Facial Biometric Data Authentication in Unconstraint Environment. In: Pati, B., Panigrahi, C., Misra, S., Pujari, A., Bakshi, S. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 713. Springer, Singapore. https://doi.org/10.1007/978-981-13-1708-8_40

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  • DOI: https://doi.org/10.1007/978-981-13-1708-8_40

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1707-1

  • Online ISBN: 978-981-13-1708-8

  • eBook Packages: EngineeringEngineering (R0)

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