A Novel Approach to Skew Detection and Character Segmentation for Handwritten Bangla Words

@article{Roy2005ANA,
  title={A Novel Approach to Skew Detection and Character Segmentation for Handwritten Bangla Words},
  author={Anandarup Roy and Tapan Kumar Bhowmik and Swapan K. Parui and Utpal Roy},
  journal={Digital Image Computing: Techniques and Applications (DICTA'05)},
  year={2005},
  pages={30-30}
}
Character segmentation is a necessary preprocessing step for character recognition in many handwritten word recognition systems. The most difficult case in character segmentation is the cursive script. Fully cursive nature of Bangla handwriting, the natural skewness in words poses some challenges for automatic character segmentation. In this article a novel approach to skew detection, correction as well as character segmentation has been presented for handwritten Bangla words as a test case… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-8 of 8 references

Segmenting of touching characters in postal addresses, U.S. Postal Service 5 Adv

  • R. G. Casey, J. van Horne
  • Technical Conf
  • 1992
2 Excerpts

Detection of linear oblique structures and skew scan in digitized documents

  • W. Postl
  • Proceedings of the 8th International Conference…
  • 1986
2 Excerpts

Recursive Segmentation and Classification of Composite Patterns

  • R. G. Casey, G. Nagy
  • Proc. Sixth Int'l Conf. Pattern Recognition,
  • 1982
1 Excerpt

Similar Papers

Loading similar papers…