Texture-based palmprint retrieval using a layered search scheme for personal identification

Wenxin Li, Jia You, Dapeng Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

74 Citations (Scopus)


This paper presents a new approach to palmprint retrieval for personal identification. Three key issues in image retrieval are considered - feature extraction, similarity measurement and fast search for the best match of the queried image in an image database. We propose a texture-based approach for palmprint feature representation. The concept of texture energy is introduced to define both global and local features of a palmprint, which are characterized with high convergence of inner-palm similarities and good dispersion of inter-palm discrimination. The searching is carried out in a layered fashion: the global features are first used to guide the fast selection of a small set of similar candidates from the database and then the local features are applied to determine the final output from the selected set of similar candidates. The experimental results illustrate the effectiveness of the proposed approach.
Original languageEnglish
Pages (from-to)891-898
Number of pages8
JournalIEEE Transactions on Multimedia
Issue number5
Publication statusPublished - 1 Oct 2005


  • Content-based image retrieval
  • Image matching
  • Palmprint feature extraction
  • Personal identification
  • Similarity measurement
  • Texture features

ASJC Scopus subject areas

  • Signal Processing
  • Media Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering


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