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Colour Fusion in Face Authentication System Based on Visible and Near Infrared Images

Seyed Mohammad Sadegh Tabatabaeifar,Mohsen Lashkargir,S. Taghizadeh,Hadi Karimi Tafti

Published 2011 in International Journal on Advanced Science, Engineering and Information Technology

ABSTRACT

In this paper, face authentication using images taken in visible and near-infrared spectra (NIR) is studied. Visible images are in RGB colour space and near-infrared images are in gray levels colour space. First, the performance of system in each of the primary colour spaces of visible and near-infrared spectrum is evaluated that the verification process is based on the Normalised Correlation measure within the LDA feature space. In order to utilize the information of colour images, the scores associated to an adaptively selected subset of the colour based classifiers are then fused in the decision level. The selection process is based on a sequential search technique called the "plus L and take away R" algorithm. The sum rule and svm rule is used for fusing the related scores. Our extensive experimental studies using the HFB face database demonstrate that using the proposed method, the performance of the system considerably improves as compared to the individual Visible-based or NIR-based face verification systems.

PUBLICATION RECORD

  • Publication year

    2011

  • Venue

    International Journal on Advanced Science, Engineering and Information Technology

  • Publication date

    Unknown publication date

  • Fields of study

    Mathematics, Computer Science, Engineering

  • Identifiers
    DOI 10.18517/IJASEIT.1.4.78
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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