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Multifeature Palmprint Authentication

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Discriminative Learning in Biometrics
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Abstract

A 2D-based palmprint authentication system is easily fooled by spoof attacks, such as a fake palmprint. To solve that problem, we present a multifeature palmprint authentication system using both 2D and 3D palmprint features in this chapter. This chapter is organized as follows: Sect. 6.1 briefly introduces the background of 2D- and 3D-based palmprint authentication systems. Section 6.2 presents a multifeature palmprint authentication system and the 2D and 3D palmprint image acquisition device. In Sect. 6.3, 2D and 3D feature extraction algorithms are presented. In Sect. 6.4, we present a 2D features matching algorithm for 2D palmprint verification, and then present a 3D features matching algorithm for 3D palmprint authentication. Some experiments are reported to illustrate the robustness of the presented algorithm in Sect. 6.5. The chapter is concluded in Sect. 6.6.

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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). Multifeature Palmprint Authentication. In: Discriminative Learning in Biometrics. Springer, Singapore. https://doi.org/10.1007/978-981-10-2056-8_6

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  • DOI: https://doi.org/10.1007/978-981-10-2056-8_6

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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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