A Novel Multi-feature Multi-classifier Scheme for Unconstrained Handwritten Devanagari Character Recognition

@article{Shelke2010ANM,
  title={A Novel Multi-feature Multi-classifier Scheme for Unconstrained Handwritten Devanagari Character Recognition},
  author={Sushama Shelke and Shaila Apte},
  journal={2010 12th International Conference on Frontiers in Handwriting Recognition},
  year={2010},
  pages={215-219}
}
This paper presents a novel approach for recognition of unconstrained handwritten Marathi characters. The recognition is carried out using multistage feature extraction and classification scheme. The initial stages of feature extraction are based upon the structural features and the classification of the characters is done according to their parameters. The final stage of feature extraction employs Radon transform and Euclidean distance transform and applied to two separate feed forward back… CONTINUE READING
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Rotation

  • P. M. Patil, T. R. Sontakke
  • Scale and Translation Invariant Handwritten…
  • 2007
1 Excerpt

Integrating Knowledge Sources in Devanagari Text Recognition

  • V. Bansal
  • Ph.D. Thesis, IIT Kharagpur
  • 1999
1 Excerpt

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