Chinese character recognition via orthogonal moments

  • Simon X. Liao
  • Miroslaw Pawlak
Signal Processing and Pattern Recognition
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1133)


To select a suitable feature vector extracted from the interested character for the purpose of classification is essential in the design of a character recognition system. Moment descriptors have been developed as features in pattern recognition since Hu[14] first introduced the moment method. Describing a character with moments means that global properties of the character are used rather than local properties. This nature makes the method of moments a proper candidate for Chinese character recognition system. In this paper, new Legendre moment spaces for Chinese character recognition are proposed which provide significant improvements in terms of Chinese character recognition.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • Simon X. Liao
    • 1
  • Miroslaw Pawlak
    • 2
  1. 1.The University of WinnipegWinnipegCanada
  2. 2.The University of ManitobaWinnipegCanada

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