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3D Palmprint

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  • First Online:
Encyclopedia of Cryptography, Security and Privacy

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Synonyms

Three-dimensional palmprint

Definitions

Three-dimensional (3D) palmprint stands for the geometric information of the palmprint; it is independent with the illumination, skin color, and palm pose. In 3D palmprint biometrics, the most commonly used information is the depth information of the principal lines and wrinkles and the shape information of the palm surface.

Background

Two-dimensional (2D) palmprint biometrics has been extensively studied and applied due to its high recognition accuracy and low cost. However, 2D images are generated by projective imaging, so they are inherently sensitive to palm pose. Different palm distances and orientations will lead rotation, translation, and scale variations to the generated 2D palmprint image. Besides, after projection, it loses the valuable 3D structure information, such as the depth of the palmprint lines and the curvature distribution of the palm surface. 2D palm image also is sensitive to illumination, since it is generated...

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Author information

Authors and Affiliations

  1. School of Data Science, The Chinese University of Hong Kong, Shenzhen, China

    David Zhang

  2. Harbin Institute of Technology, Shenzhen, China

    Xu Liang

  3. Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China

    David Zhang & Xu Liang

Authors
  1. David Zhang
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  2. Xu Liang
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Corresponding authors

Correspondence to David Zhang or Xu Liang .

Editor information

Editors and Affiliations

  1. Center for Secure Information Systems, George Mason University, Fairfax, VA, VA, USA

    Sushil Jajodia

  2. University of Milan, Milan, Italy

    Pierangela Samarati

  3. Google Inc, New York, NY, USA

    Moti Yung

Section Editor information

  1. Dept. of Computer Science, Universita' degli Studi di Milano, Milan, Italy

    Fabio Scotti

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Zhang, D., Liang, X. (2021). 3D Palmprint. In: Jajodia, S., Samarati, P., Yung, M. (eds) Encyclopedia of Cryptography, Security and Privacy. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27739-9_1502-1

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  • DOI: https://doi.org/10.1007/978-3-642-27739-9_1502-1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27739-9

  • Online ISBN: 978-3-642-27739-9

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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