Preprints are manuscripts made publicly available before they have been submitted for formal peer review and publication. They might contain new research findings or data. Preprints can be a draft or final version of an author's research but must not have been accepted for publication at the time of submission.
Hyperspectral imaging systems are well established,
for satellite, remote sensing and geosciences applications. Recently, the reduction in the cost of hyperspectral sensors and
increase in the imaging speed has attracted computer vision
scientists to apply hyperspectral imaging to ground based computer vision problems such as material classification, agriculture,
chemistry and document image analysis. Hyperspectral imaging
has also been explored for face recognition; to tackle the issues
of pose and illumination variations by exploiting the richer
spectral information of hyperspectral images. In this article,
we present a detailed review on the potential of hyperspectral
imaging for face recognition. We present hyperspectral image
aquisition process and discuss key preprocessing challenges.
We also discuss hyperspectral face recognition databases and
techniques for feature extraction from the hyperspectral images.
Potential future research directions are also highlighted