A new approach to personal identification via hierarchical palmprint coding

Jia You, Dapeng Zhang, K. H. Cheung, W. K. Kong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

This paper presents a new approach to personal identification using palmprints. To tackle the key issues such as palmprint feature extraction, representation, indexing, matching criteria and fast search for large data archives, we introduce, a hierarchical palmprint coding scheme to facilitate coarse-to-fine matching for efficient and effective palmprint classification. The proposed scheme consists of four levels: 1) a global geometry based feature for palmprint location (Level-1 feature), 2) a global texture based feature for palmprint grouping (Level-2 feature), 3) a local fuzzy "interest line" detection for palmprint selection (Level-3 feature), 4) a local texture energy vector for fine palmprint matching (Level-4 feature). In addition, we adopt a mask based statistical measurement to extract texture feature in palmprints, which is characterized by its high convergence of inner-palm similarities and good dispersion of inter-palm discrimination. Furthermore, we apply fuzzy set technology to detect dominant feature, points ("interest" points) and lines ("interest" lines) to guide matching. A wide range of palmprint images have been tested to demonstrate the feasibility and effectiveness of the proposed method.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Imaging Science, Systems and Technology, CISST
Pages531-537
Number of pages7
Publication statusPublished - 1 Dec 2003
EventProceedings of the International Conference on Imaging Science, Systems and Technology, CISST'03 - Las Vegas, NV, United States
Duration: 23 Jun 200326 Jun 2003

Conference

ConferenceProceedings of the International Conference on Imaging Science, Systems and Technology, CISST'03
Country/TerritoryUnited States
CityLas Vegas, NV
Period23/06/0326/06/03

Keywords

  • Biometric identification
  • Feature extraction and representation
  • Fuzzy set
  • Guided search
  • Palmprint classification
  • Texture measurement

ASJC Scopus subject areas

  • Engineering(all)

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