Segmentation-free morphological character recognition

Eugene J. Kraus; Edward R. Dougherty

doi:10.1117/12.171117

23 March 1994 Segmentation-free morphological character recognition

Eugene J. Kraus, Edward R. Dougherty

Proceedings Volume 2181, Document Recognition; (1994) https://doi.org/10.1117/12.171117
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

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.

Citation Download Citation

Eugene J. Kraus and Edward R. Dougherty "Segmentation-free morphological character recognition", Proc. SPIE 2181, Document Recognition, (23 March 1994); https://doi.org/10.1117/12.171117

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