Eigen palmprint authentication system using dimension reduction of singular vector

  • Authors:
  • Jin Soo Noh;Kang Hyeon Rhee

  • Affiliations:
  • Dept. of Electronic Eng., Multimedia & Biometrics Lab., Chosun University, Gwangju Metropolitan city, Korea(Daehanminkook);Dept. of Electronic Eng., Multimedia & Biometrics Lab., Chosun University, Gwangju Metropolitan city, Korea(Daehanminkook)

  • Venue:
  • FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
  • Year:
  • 2006

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Abstract

This paper introduces the palmprint classification and recognition method based on PCA (Principal Components Analysis) using the Palmprint Acquisition Device. And the 75dpi palmprint image which is obtained by the palmprint acquisition device is used for the effectual palmprint recognition system. PCA have been previously applied to other biometric authentication and classification tasks, but not to palmprint images. We describe how the extraction of feature in the palmprint surface using Optimized PCA. The proposed system consists of the palmprint acquisition device and the palmprint authentication algorithm.