A novel personal authentication system using palmprint technology

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

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

3 Citations (Scopus)

Abstract

In recent times, an increasing, worldwide effort has been devoted to the development of automatic personal identification systems that can be effective in a wide variety of security contexts. Palmprints have a number of unique advantages: they are rich in features such as principal lines, wrinkles, and textures and these provide stable and distinctive information sufficient for separating an individual from a large population. In this paper, we present a novel biometric authentication system to identify a person's identity by his/her palmprint. 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 authentication process is less than 1 second. Finally, some possible applications are discussed which could be benefited by using palmprint technology.
Original languageEnglish
Title of host publicationPattern Recognition and Machine Intelligence - First International Conference, PReMI 2005, Proceedings
Pages147-156
Number of pages10
Publication statusPublished - 1 Dec 2005
Event1st International Conference on Pattern Recognition and Machine Intelligence, PReMI 2005 - Kolkata, India
Duration: 20 Dec 200522 Dec 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3776 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on Pattern Recognition and Machine Intelligence, PReMI 2005
Country/TerritoryIndia
CityKolkata
Period20/12/0522/12/05

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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