Empirical study of light source selection for palmprint recognition

Zhenhua Guo, Dapeng Zhang, Lei Zhang, Wangmeng Zuo, Guangming Lu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

31 Citations (Scopus)


Most of the current palmprint recognition systems use an active light to acquire images, and the light source is a key component in the system. Although white light is the most widely used light source, little work has been done on investigating whether it is the best illumination for palmprint recognition. This study analyzes the palmprint recognition performance under seven different illuminations, including the white light. The experimental results on a large database show that white light is not the optimal illumination, while yellow or magenta light could achieve higher palmprint recognition accuracy than the white light.
Original languageEnglish
Pages (from-to)120-126
Number of pages7
JournalPattern Recognition Letters
Issue number2
Publication statusPublished - 15 Jan 2011


  • Biometrics
  • Illumination
  • Orientation code
  • Palmprint recognition

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence


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