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On the influence of anisotropic diffusion filter on dorsal hand authentication using eigenveins

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Abstract

In this paper, we present a competent approach for dorsal hand vein features extraction from near infrared images and PCA matching. Which is the anisotropic diffusion filter; we present first a review about this filter most used for the image enhancement. The physiological features characterize the dorsal venous network of the hand. These networks are single to each individual and can be used as a biometric system for person identification/authentication. An active near infrared method is used for image acquisition. The proposed approach uses an anisotropic diffusion technique for contrast enhancement and morphological filtering to extract the venous network and principal component analysis.

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Authors and Affiliations

  1. University of Oran 2 Mohamed Ben Ahmed, Oran, Algeria

    Sarah Hachemi-Benziane

  2. University of Technology and Science of Oran Mohamed Boudiaf, Oran, Algeria

    Sarah Hachemi-Benziane & Abdelkader Benyettou

Authors
  1. Sarah Hachemi-Benziane
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  2. Abdelkader Benyettou
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Correspondence to Sarah Hachemi-Benziane.

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Hachemi-Benziane, ., Benyettou, A. On the influence of anisotropic diffusion filter on dorsal hand authentication using eigenveins. Multidim Syst Sign Process 29, 1507–1528 (2018). https://doi.org/10.1007/s11045-017-0514-8

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  • DOI: https://doi.org/10.1007/s11045-017-0514-8

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