Handwritten Bangla Basic and Compound character recognition using MLP and SVM classifier

@article{Das2010HandwrittenBB,
  title={Handwritten Bangla Basic and Compound character recognition using MLP and SVM classifier},
  author={Nibaran Das and Bindaban Das and Ram Sarkar and Subhadip Basu and Mahantapas Kundu and Mita Nasipuri},
  journal={CoRR},
  year={2010},
  volume={abs/1002.4040}
}
A novel approach for recognition of handwritten compound Bangla characters, along with the Basic characters of Bangla alphabet, is presented here. Compared to English like Roman script, one of the major stumbling blocks in Optical Character Recognition (OCR) of handwritten Bangla script is the large number of complex shaped character classes of Bangla alphabet. In addition to 50 basic character classes, there are nearly 160 complex shaped compound character classes in Bangla alphabet. Dealing… CONTINUE READING

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Key Quantitative Results

  • On experimentation, the technique is observed produce an average recognition rate of 79.25% using MLP and 80.510% using SVM after three fold cross validation of data with future scope of improvement and extension.

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