Abstract
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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Liao, S.X., Pawlak, M. (1996). Chinese character recognition via orthogonal moments. In: Chouinard, JY., Fortier, P., Gulliver, T.A. (eds) Information Theory and Applications II. CWIT 1995. Lecture Notes in Computer Science, vol 1133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0025151
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DOI: https://doi.org/10.1007/BFb0025151
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