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Infrared Versus Visible Image Matching for Multispectral Face Recognition

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Fourth International Congress on Information and Communication Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1027))

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Abstract

Multispectral face recognition has been an interesting area of research where images obtained from different bands are matched. There are many face image datasets available which contain infrared and visible images. In most face recognition applications, the IR image taken in different circumstances is matched against the visible image available in the application database. High computational cost is required for processing these images. In the literature, there is no guideline about the optimal number of features for dealing with multispectral face datasets. Thus, in this paper, we will perform image matching using infrared and visible images for face recognition and establish the threshold of the optimal number of features required for multispectral face recognition. The experiments conducted are on SCFace—surveillance cameras face database. The experimental setup for multispectral face recognition using LBP and PCA feature sets and the experimental results are discussed in the paper.

This publication was made possible by NPRP grant # NPRP8-140-2-065 from the Qatar National Research Fund (a member of the Qatar Foundation). The statements made herein are solely the responsibility of the authors.

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Authors and Affiliations

  1. Computer Science and Engineering Department, Qatar University, Doha, Qatar

    Wafa Waheeda Syed & Somaya Al-Maadeed

Authors
  1. Wafa Waheeda Syed
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  2. Somaya Al-Maadeed
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Correspondence to Wafa Waheeda Syed .

Editor information

Editors and Affiliations

  1. School of Science and Technology, Middlesex University, London, UK

    Xin-She Yang

  2. University of Reading, Reading, UK

    Simon Sherratt

  3. Department of Information Technology, Techno India College of Technology, Kolkata, West Bengal, India

    Nilanjan Dey

  4. Global Knowledge Research Foundation, Ahmedabad, Gujarat, India

    Amit Joshi

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Syed, W.W., Al-Maadeed, S. (2020). Infrared Versus Visible Image Matching for Multispectral Face Recognition. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Fourth International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 1027. Springer, Singapore. https://doi.org/10.1007/978-981-32-9343-4_40

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  • DOI: https://doi.org/10.1007/978-981-32-9343-4_40

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9342-7

  • Online ISBN: 978-981-32-9343-4

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