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A synthesized computer recognition system for human hands

  • Chuanxue Wang
  • HanQing Lu
  • SongDe Ma
Session IA3b — Application Systems
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1024)

Abstract

A computer recognition system for human hands is presented in this paper. The system is based on infrared images. A multi-grid normalization technique is developed to normalize the position of the hand and fingers. Sets of geometric features, Zernike moment features and algebraic features are used in a two-stage recognition scheme. The system works very well on 300 hand samples of 30 persons with a 97% discrimination rate.

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Reference

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    M. Turk and A. Pentland: Eigenfaces for recognition. Journal of Cognitive Neuroscience, March 1991.Google Scholar
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    J.H. Ma, R.L. Zhao and S.D. Ma: Infrared eigenhands for human recognition. In Proceeding of The 1st Asian Conference on Computer Vision, Osaka, Japan, 1993.Google Scholar
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    M.R. Teague: Image analysis via the general theory of moments. J. Opt. Soc. Am., Vol.70, No.8, August 1980.Google Scholar
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    B.C. Li and J. Shen: Fast computation of moment invariant. Pattern Recognition 24, 1991.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Chuanxue Wang
    • 1
  • HanQing Lu
    • 1
  • SongDe Ma
    • 1
  1. 1.National Lab. of Pattern RecognitionInstitute of Automation Chinese Academy of SciencesBeijingP. R. China

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