Quality assessment of finger-vein image

@article{Qin2012QualityAO,
  title={Quality assessment of finger-vein image},
  author={Huafeng Qin and Sheng Li and Alex ChiChung Kot and Lan Qin},
  journal={Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference},
  year={2012},
  pages={1-4}
}
In this paper, we propose a novel quality assessment of finger-vein images for quality control purpose. First of all, we divide a finger vein image into a set of non-overlapping blocks. In order to detect the local vein patterns, each block is projected into the Radon space using an average Radon transform. A local quality score is estimated for each block according to the curvature in the corresponding Radon space, based on which a global quality score of the finger-vein is computed and… CONTINUE READING

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A Systematic Review of Finger Vein Recognition Techniques

  • Information
  • 2018
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CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Deep Representation for Finger-Vein Image-Quality Assessment

  • IEEE Transactions on Circuits and Systems for Video Technology
  • 2018
VIEW 4 EXCERPTS
CITES METHODS & BACKGROUND

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Huafeng Qin, Amine Elyacoubi
    VIEW 4 EXCERPTS
    CITES METHODS & BACKGROUND

    Finger-vein verification based on the curvature in Radon space

    Huafeng Qin, Xiping He, Xingyan Yao, Hongbing Li
    • Expert Syst. Appl.
    • 2017

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