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Hidden Biometrics pp 167–184Cite as

Retinal Image Processing in Biometrics

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Part of the book series: Series in BioEngineering ((SERBIOENG))

Abstract

In this chapter, retinal image processing will be addressed as a Hidden Biometric modality. Considered as safe modalities, the retinal vascular network provide a unique pattern for each individual since it does not change throughout the life of the person. In addition, the retina offers a high level of recognition, which makes it suitable for high security applications thanks to its universality, its invariability over time and its difficulty to falsify.

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Authors and Affiliations

  1. Gaspard Monge Computer Science Laboratory, ESIEE-Paris, University Paris-Est, Marne-la-Vallée, France

    Rostom Kachouri, Mohamed Akil & Yaroub Elloumi

  2. Medical Technology and Image Processing Laboratory, Faculty of Medicine, University of Monastir, Monastir, Tunisia

    Yaroub Elloumi

  3. ISITCom Hammam-Sousse, University of Sousse, Sousse, Tunisia

    Yaroub Elloumi

Authors
  1. Rostom Kachouri
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  2. Mohamed Akil
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  3. Yaroub Elloumi
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Corresponding author

Correspondence to Rostom Kachouri .

Editor information

Editors and Affiliations

  1. Université Paris-Est, LISSI, UPEC, Vitry sur Seine, France

    Amine Nait-ali

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Kachouri, R., Akil, M., Elloumi, Y. (2020). Retinal Image Processing in Biometrics. In: Nait-ali, A. (eds) Hidden Biometrics. Series in BioEngineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-0956-4_10

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  • DOI: https://doi.org/10.1007/978-981-13-0956-4_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0955-7

  • Online ISBN: 978-981-13-0956-4

  • eBook Packages: EngineeringEngineering (R0)

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