Text line extraction from handwritten document pages using spiral run length smearing algorithm

@article{Malakar2012TextLE,
  title={Text line extraction from handwritten document pages using spiral run length smearing algorithm},
  author={Samir Malakar and Sambit Halder and Rajib Sarkar and Narottam Kumar Das and Sumana Basu and Mita Nasipuri},
  journal={2012 International Conference on Communications, Devices and Intelligent Systems (CODIS)},
  year={2012},
  pages={616-619}
}
Extraction of text lines from document images is one of the important steps in the process of an Optical Character Recognition (OCR) system. In case of handwritten document images, presence of skewed, touching or overlapping text line(s) makes this process a real challenge to the researcher. In the present work, a new text line extraction technique based on Spiral Run Length Smearing Algorithm (SRLSA) is reported. Firstly, digitized document image is partitioned into a number of vertical… CONTINUE READING

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