Palmprint recognition based on Fourier transform

Wen Xin Li, Dapeng Zhang, Zhuo Qun Xu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

40 Citations (Scopus)


Palmprint recognition aims at finding out the palmprint template from the database, which is from the same palm as a given palmprint input. Feature extraction plays an important role in the recognition process. We propose a new feature extraction method by converting a spatial domain palmprint image into a frequency domain image using Fourier Transform (FT) and representing palmprint features in the frequency domain. The extracted features are used as indexes to the palmprint templates in the database and the searching for the best match is leaded by these features in a layered fashion. The experimental results show that the proposed FT base feature extraction method is effective in terms of accuracy and efficiency on our palmprint database.
Original languageEnglish
Pages (from-to)879-886
Number of pages8
JournalRuan Jian Xue Bao/Journal of Software
Issue number5
Publication statusPublished - 1 May 2002
Externally publishedYes


  • Biometrics
  • Feature extraction
  • Fourier transform
  • Palmprint
  • Personal identification

ASJC Scopus subject areas

  • Software

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