A Novel Personal Authentication System Using Palmprint Technology

  • David Zhang
  • Guangming Lu
  • Adams Wai-Kin Kong
  • Michael Wong
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3776)


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.


Smart Card Gabor Filter Authentication System Biometric System Recognition Module 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • David Zhang
    • 1
  • Guangming Lu
    • 2
  • Adams Wai-Kin Kong
    • 1
    • 3
  • Michael Wong
    • 1
  1. 1.Biometric Research Centre, Department of ComputingThe Hong Kong Polytechnic UniversityKowloon, Hong Kong
  2. 2.Biocomputing Research Lab, School of Computer Science and EngineeringHarbin Institute of TechnologyHarbinChina
  3. 3.Electrical and Computer EngineeringUniversity of WaterlooCanada

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