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Discriminative Features for Palmprint Authentication

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Discriminative Learning in Biometrics

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Abstract

As an emerging biometric technology, palmprint authentication has attracted considerable attention in recent years. In this field, coding-based methods , which extract the coding features of palmprint images, are among the most promising palmprint authentication methods. In this chapter, we first give a brief review of palmprint authentication methods in Sect. 4.1. Section 4.2 describes the conventional coding-based palmprint identification methods . In Sects. 4.3 and 4.4, two improved coding-based palmprint authentication methods are presented.

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Author information

Authors and Affiliations

  1. Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China

    David Zhang

  2. Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, Guangdong, China

    Yong Xu

  3. Harbin Institute of Technology, Harbin, Heilongjiang, China

    Wangmeng Zuo

Authors
  1. David Zhang
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  2. Yong Xu
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  3. Wangmeng Zuo
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Corresponding authors

Correspondence to David Zhang , Yong Xu or Wangmeng Zuo .

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© 2016 Springer Science+Business Media Singapore

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Zhang, D., Xu, Y., Zuo, W. (2016). Discriminative Features for Palmprint Authentication. In: Discriminative Learning in Biometrics. Springer, Singapore. https://doi.org/10.1007/978-981-10-2056-8_4

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  • DOI: https://doi.org/10.1007/978-981-10-2056-8_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2055-1

  • Online ISBN: 978-981-10-2056-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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