A MORPHOLOGY-BASED METHODS OF CORRECTING PRINTED AND HANDWRITTEN GEORGIAN TEXT IMAGES

Authors

Dimitri Sekhniashvili

Keywords:

numbers, Image processing, mathematical morphology, marketing

Abstract

This paper discusses issues of correction of printed and handwritten texts using mathematical morphological methods, word and letter skew correction, segmentation, localization and filtering of gradient backgrounds of images resulting from uneven illumination. Through the use of developed algorithms, we are able to significantly improve the quality of the original image

References

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R.Svanidze, D.Sekhniashvili. “Printed and handwritten text correction using descanting algorithms” Georgian Engineering News 2020, 2

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R. Svanidze, D.Sekhniashvili. “Segmentation of text lines using combination of morphological and histogram projection operations”. Georgian Engineering News 2020,

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Published

2022-02-13

How to Cite

Dimitri Sekhniashvili. (2022). A MORPHOLOGY-BASED METHODS OF CORRECTING PRINTED AND HANDWRITTEN GEORGIAN TEXT IMAGES. European Journal of Research Development and Sustainability, 3(2), 71-75. Retrieved from https://scholarzest.com/index.php/ejrds/article/view/1813