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Optimal Parameter Selection for 3D Palmprint Acquisition System

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10996))

Abstract

3D palmprint recognition system have been widely studied in recent years. More and more 3D palmprint feature extraction and matching methods are proposed. However, most of the existing image acquisition systems are based on commercial equipment which has high cost, big equipment volume, over-high precision and long 3D data generation time. What’s more, those systems are not designed specialized for palmprint. Most of their parameters are not suitable for 3D palmprint acquisition. Those shortcomings have seriously hindered the applications of 3D palmprint identification. In this paper, we developed a new scheme to tune the initial system parameters to balance the tradeoff of device cost, volume, and data generation time. The samples collected by our proposed device have proved its effectiveness and advantages. The system is easy to implement and will promote the application of 3D palmprint.

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Correspondence to Nan Luo .

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Liang, X., Wu, G., He, Y., Luo, N. (2018). Optimal Parameter Selection for 3D Palmprint Acquisition System. In: Zhou, J., et al. Biometric Recognition. CCBR 2018. Lecture Notes in Computer Science(), vol 10996. Springer, Cham. https://doi.org/10.1007/978-3-319-97909-0_8

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  • DOI: https://doi.org/10.1007/978-3-319-97909-0_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97908-3

  • Online ISBN: 978-3-319-97909-0

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