Segmentation-free morphological character recognition Conference Paper uri icon

abstract

  • A basic class of structuring-element pairs for segmentation-free character recognition via the morphological hit-or-miss transform is developed for Courier font. Both hit and miss structuring elements are sparse and they are selected so that the hit-or-miss transform can be applied across the test image without prior segmentation. Besides being able to achieve high rates of accuracy on text with touching characters, the hit-or-miss algorithm, as developed herein, is shown to be very robust with respect to the threshold level for the input gray-scale data.

name of conference

  • Document Recognition

published proceedings

  • Proceedings of SPIE

author list (cited authors)

  • Kraus, E. J., & Dougherty, E. R.

citation count

  • 7

complete list of authors

  • Kraus, Eugene J||Dougherty, Edward R

editor list (cited editors)

  • Vincent, L. M., & Pavlidis, T.

publication date

  • March 1994