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Discussions and Future Work

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Discriminative Learning in Biometrics

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Abstract

Recently, the reliable authentication of human identity based on biometrics in the complex environments has attracted much attention. This book provides with several representative methods of discriminative learning for biometric recognition. The ideas, algorithms, experimental evaluation, and underlying rationales are also provided for the better understanding of these methods. In this chapter, we will give a further discussion about the book and present some remarks on the future development of discriminative learning for biometric recognition.

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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). Discussions and Future Work. In: Discriminative Learning in Biometrics. Springer, Singapore. https://doi.org/10.1007/978-981-10-2056-8_10

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  • DOI: https://doi.org/10.1007/978-981-10-2056-8_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2055-1

  • Online ISBN: 978-981-10-2056-8

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