Online palmprint identification system for civil applications

Dapeng Zhang, Guang Ming Lu, Adams Wai Kin Kong, Michael Wong

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)

Abstract

In this paper, a novel biometric identification system is presented to identify a person's identity by his/her palmprint. In contrast to existing palmprint systems for criminal applications, the proposed system targets at the civil applications, which require identifying a person in a large database with high accuracy in real-time. The system is constituted by four major components: User Interface Module, Acquisition Module, Recognition Module and External Module. More than 7,000 palmprint images have been collected to test the performance of the system. The system can identify 400 palms with a low false acceptance rate, 0.02%, and a high genuine acceptance rate, 98.83%. For verification, the system can operate at a false acceptance rate, 0.017% and a false rejection rate, 0.86%. The execution time for the whole process including image collection, preprocessing, feature extraction and matching is less than 1 second.
Original languageEnglish
Pages (from-to)70-76
Number of pages7
JournalJournal of Computer Science and Technology
Volume20
Issue number1
DOIs
Publication statusPublished - 1 Jan 2005

Keywords

  • Biometrics
  • Palmprint identification
  • Personal authentication

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computer Science Applications
  • Computational Theory and Mathematics

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