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Ensemble Face Recognition System Using Dense Local Graph Structure

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Intelligent Computing Methodologies (ICIC 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10956))

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Abstract

This paper presents an ensemble face recognition system which makes use of a novel Dense Local Graph Structure (D-LGS). This descriptor uses additional graph structure along with its own local graph structure. This additional local graph structure is generated from original symmetric LGS by finding additional corner pixels through bilinear interpolation of neighbourhood pixels. These corner pixels lead to most stable features and information related to local deformation of the image. In this proposed ensemble system, three classifiers namely K-NN, Chi-square and correlation coefficient are used. Further the proposed approach fuses the decisions of individual classifiers through OR rule, majority voting and AND rule. To evaluate the performance of proposed ensemble system the experiment is conducted with two face databases viz. the AT&T (formerly the ORL database) and the UFI (Unconstrained Facial Image) database. The experimental results exhibit considerable improvement of the ensemble face recognition system on the use of novel descriptor.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, 713209, India

    Dipak Kumar, Jogendra Garain & Dakshina Ranjan Kisku

  2. Department of Computer Science and Engineering, Jadavpur University, Kolkata, 700032, India

    Jamuna Kanta Sing

  3. Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, 208016, India

    Phalguni Gupta

Authors
  1. Dipak Kumar
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  2. Jogendra Garain
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  3. Dakshina Ranjan Kisku
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  4. Jamuna Kanta Sing
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  5. Phalguni Gupta
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Corresponding authors

Correspondence to Dipak Kumar or Dakshina Ranjan Kisku .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Indian Institute of Technology Madras, Chennai, India

    M. Michael Gromiha

  3. Inha University, Incheon, Korea (Republic of)

    Kyungsook Han

  4. Liverpool John Moores University, Liverpool, United Kingdom

    Abir Hussain

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Kumar, D., Garain, J., Kisku, D.R., Sing, J.K., Gupta, P. (2018). Ensemble Face Recognition System Using Dense Local Graph Structure. In: Huang, DS., Gromiha, M., Han, K., Hussain, A. (eds) Intelligent Computing Methodologies. ICIC 2018. Lecture Notes in Computer Science(), vol 10956. Springer, Cham. https://doi.org/10.1007/978-3-319-95957-3_91

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  • DOI: https://doi.org/10.1007/978-3-319-95957-3_91

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95956-6

  • Online ISBN: 978-3-319-95957-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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