A new chain-code quantization approach enabling high performance handwriting recognition based on multi-classi .er schemes

@article{Hoque2003ANC,
  title={A new chain-code quantization approach enabling high performance handwriting recognition based on multi-classi .er schemes},
  author={Sanaul Hoque and Konstantinos Sirlantzis and Michael C. Fairhurst},
  journal={Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.},
  year={2003},
  pages={834-838}
}
In this paper initially we propose a novel approach toclassify handwritten characters based on a directional decompositionof the corresponding chain-code representation.This is alternative to previous transformations of thechain-codes proposed by the authors, namely the orderedand random decomposition of the bit-planes resulting fromthe binary representation of the chain-codes. Subsequentlywe utilize the power of the recently developed multiple classifierschemes using sntuple classifiers to… CONTINUE READING

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Probability table compression using distributional clustering for scanning n-tuple classifiers

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Handwriting recognition system using fast wavelets transform

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