A novel on-line palmprint identification system

Wenxin Li, Dapeng Zhang, Zhuoqun Xu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Computer-aided personal identification is emerging as a top-notch technology in various automated security systems. Different biometric features, such as fingerprint pattern, speech quality, face feature, signature manner, hand geometry and iris characteristics, have been proposed as means for individual identification. In this paper, we developed a brand new method-a unique on-line palmprint identification system-to verify individuals by measuring the inner surface of a palm. We began the introduction of our approach by discussing the system's key issues. Next, we thoroughly explained the two crucial parts of the system: the on-line palmprint capture device and the feature extraction algorithm. Experiments and their results were shown to prove the effectiveness of the proposed method on our palmprint database.
Original languageEnglish
Pages (from-to)361-373
Number of pages13
JournalInternational Journal of Smart Engineering System Design
Volume5
Issue number4
DOIs
Publication statusPublished - 1 Oct 2003
Externally publishedYes

Keywords

  • Biometrics
  • Feature extraction
  • On-line personal identification
  • Palmprint

ASJC Scopus subject areas

  • Software

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