Palmprint authentication technologies, systems and applications

Dapeng Zhang, Guangming Lu, Adams Wai Kin Kong, Michael Wong

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)

Abstract

This paper presents a novel personal authentication system using palmprints. The technology uses the unique information extracted from palmprints (such as principal lines, wrinkles, and textures) during the authentication process to eliminate possible frauds that cannot be avoided by traditional methods (using password or cards). The uniqueness of features and robustness of algorithm make the system far superior to existing biometric systems. This paper first presents the system architecture construction and the algorithm design. Being a robust and reliable system, it was tested by more than 8,000 palmprint images with very low false acceptance rate (0.02%), and a relative high genuine acceptance rate (98.83%). The whole process time for once authentication is less than 1 second. Finally some possible applications are discussed which could be benefited by using palmprint technology.
Original languageEnglish
Pages (from-to)78-89
Number of pages12
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3338
Publication statusPublished - 1 Dec 2004

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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