A Holistic Approach for Handwritten Hindi Word Recognition

@article{Malakar2017AHA,
  title={A Holistic Approach for Handwritten Hindi Word Recognition},
  author={Samir Malakar and Pankaj Sharma and Pankaj Kumar Singh and Maitrayee Das and Ram Sarkar and Mita Nasipuri},
  journal={IJCVIP},
  year={2017},
  volume={7},
  pages={59-78}
}
Holistic word recognition attempts to recognize the entire word image as a single pattern. In general, it performs better than segmentation based word recognition model for known, fixed and small sized lexicon. The present work deals with recognition of handwritten words in Hindi in holistic way. Features like area, aspect ratio, density, pixel ratio, longest run, centroid and projection length are extracted either from entire word image or from the hypothetically generated sub-images of the… CONTINUE READING

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