Optimal Parameter Selection for 3D Palmprint Acquisition System

  • Xu Liang
  • Gang Wu
  • Yan He
  • Nan LuoEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10996)


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.


3D palmprint measurement Phase-shifting error Structured-light imaging 


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© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Harbin Institute of Technology (Shenzhen)ShenzhenChina
  2. 2.The Institute of Automation, Heilongjiang Academy of SciencesHarbinChina
  3. 3.Shenzhen Institue of the Hong Kong Polytechnic UniversityShenzhenChina

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