A texture-based approach to palmprint retrieval for personal identification

W. X. Li, Dapeng Zhang, Z. Xu, Jia You

Research output: Journal article publicationConference articleAcademic researchpeer-review

3 Citations (Scopus)

Abstract

This paper presents a new approach to palmprint retrieval for personal identification. Three key issues in image retrieval are considered - feature selection, similarity measures and dynamic search for the best matching of the sample in the image database. We propose a texture-based method for palmprint feature representation. The concept of texture energy is introduced to define a palmprint's global and local features, 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: first global features are used to guide the fast selection of a small set of similar candidates from the database and then local features are used to decide the final output within the candidate set. The experimental results demonstrate the effectiveness and accuracy of the proposed method.
Original languageEnglish
Pages (from-to)415-424
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4315
DOIs
Publication statusPublished - 1 Jan 2001
EventStorage and Retrieval for Media Databases 2001 - San Jose,CA, United States
Duration: 24 Jan 200126 Jan 2001

Keywords

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

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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