Skip to main navigation Skip to search Skip to main content

Feature Extraction for 3-D Palmprint Recognition: A Survey

  • Lunke Fei
  • , Bob Zhang*
  • , Wei Jia
  • , Jie Wen
  • , David Zhang
  • *Corresponding author for this work
  • University of Macau
  • Hefei University of Technology
  • The Chinese University of Hong Kong, Shenzhen

Research output: Contribution to journalArticlepeer-review

Abstract

The 3-D palmprint recognition has been investigated for over ten years, and various methods have been proposed for 3-D palmprint recognition. In this article, we present a comprehensive overview of feature extraction and matching for 3-D palmprint recognition over the past decade. First, we introduce the 3-D palmprint data acquisition and preprocessing processes. Second, we comparatively study the state-of-the-art feature extraction schemes for 3-D palmprint recognition. Third, we conduct selected experiments to comparatively analyze the representative 3-D palmprint feature descriptors. Finally, we offer selected potential directions for 3-D palmprint recognition in future work. We believe that this article provides a helpful guide to researchers working in the fields of palmprint-based and 3-D-based biometrics.

Original languageEnglish
Article number8950040
Pages (from-to)645-656
Number of pages12
JournalIEEE Transactions on Instrumentation and Measurement
Volume69
Issue number3
DOIs
StatePublished - Mar 2020
Externally publishedYes

Keywords

  • 3-D palmprint recognition
  • biometric
  • feature extraction and matching
  • survey

Fingerprint

Dive into the research topics of 'Feature Extraction for 3-D Palmprint Recognition: A Survey'. Together they form a unique fingerprint.

Cite this