Palmprint Identification Algorithm Using Hu Invariant Moments

  • Jin Soo Noh
  • Kang Hyeon Rhee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3614)


Recently, Biometrics-based personal identification is regarded as an effective method of person’s identity with recognition automation and high performance. In this paper, the palmprint recognition method based on Hu invariant moment is proposed. And the low-resolution (75dpi) palmprint image (135×135 Pixel) is used for the small scale database of the effectual palmprint recognition system. The proposed system is consists of two parts: firstly, the palmprint fixed equipment for the acquisition of the correctly palmprint image and secondly, the algorithm of the efficient processing for the palmprint recognition.


Histogram Equalization Personal Identification Invariant Moment Smoothing Filter Palmprint Image 
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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  1. 1.
    Yamato, K., Hara, Y.: Fingerprint Identification System by Ravine Thinning. IEICE J71-D(2), 329–335 (1988)Google Scholar
  2. 2.
    Shu, W., Zhang, D.: Automated Personal Identification by Palmprint. Optical Eng. 37m(8), 2362–2659 (1998)Google Scholar
  3. 3.
    Zhang, D., Kong, W.-K., You, J., Wong, M.: Online Palmprint Identification. IEEE Trans. Pattern analysis and Machine Intelligence 25(9), 1041–1050 (2003)CrossRefGoogle Scholar
  4. 4.
    Otsu, N.: A threshold selection method from gray level historgam. IEEE SMC 9(1), 62–66 (1979)MathSciNetGoogle Scholar
  5. 5.
    Rafael, C.: Digital Image Processing, pp. 514–518. Addison Wesley, Reading (1993)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Jin Soo Noh
    • 1
  • Kang Hyeon Rhee
    • 1
  1. 1.Dept. of Electronic Eng., Multimedia & Biometrics Lab.Chosun UniversityGwangju Metropolitan city, (Daehanminkook)Korea

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