Global and Local Features Based Handwritten Text Words and Numerals Script Identification

  title={Global and Local Features Based Handwritten Text Words and Numerals Script Identification},
  author={B. V. Dhandra and Mallikarjun Hangarge},
  journal={International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007)},
This paper aims at the script identification problem of handwritten document images, which facilitates many important applications such as sorting, transcription of multilingual documents and indexing of large collection of such images, or as a precursor to optical character recognition (OCR). The script identification scheme proposed in this paper has two phases. First phase reports the script identification of text words using global and local features, extracted by morphological filters and… CONTINUE READING
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